Vincent S. Tseng

According to our database, Vincent S. Tseng authored at least 297 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Snippet Policy Network V2: Knee-Guided Neuroevolution for Multi-Lead ECG Early Classification.

Yu Huang, Gary G. Yen, Vincent S. Tseng

IEEE Trans. Neural Networks Learn. Syst., February, 2024

2023

PoEMS: Policy Network-Based Early Warning Monitoring System for Sepsis in Intensive Care Units.

Hao Dai, Hsin-Ginn Hwang, Vincent S. Tseng

IEEE J. Biomed. Health Informatics, July, 2023

Snippet Policy Network for Multi-Class Varied-Length ECG Early Classification.

Yu Huang, Gary G. Yen, Vincent S. Tseng

IEEE Trans. Knowl. Data Eng., June, 2023

Continual learning with attentive recurrent neural networks for temporal data classification.

Shao-Yu Yin, Yu Huang, Tien-Yu Chang, Shih-Fang Chang, Vincent S. Tseng

Neural Networks, January, 2023

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.

Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong

CoRR, 2023

Multi-view knowledge distillation transformer for human action recognition.

Ying-Chen Lin, Vincent S. Tseng

CoRR, 2023

FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in Federated Learning.

Shih-Fang Chang, Benny Wei-Yun Hsu, Tien-Yu Chang, Vincent S. Tseng

CoRR, 2023

2022

A Novel Constraint-Based Knee- Guided Neuroevolutionary Algorithm for Context-Specific ECG Early Classification.

Yu Huang, Gary G. Yen, Vincent S. Tseng

IEEE J. Biomed. Health Informatics, 2022

Mining frequent weighted utility itemsets in hierarchical quantitative databases.

Ham Nguyen, Tuong Le, Minh Nguyen, Philippe Fournier-Viger, Vincent S. Tseng, Bay Vo

Knowl. Based Syst., 2022

Periodic Attention-based Stacked Sequence to Sequence framework for long-term travel time prediction.

Yu Huang, Hao Dai, Vincent S. Tseng

Knowl. Based Syst., 2022

Hierarchy-aware contrastive learning with late fusion for skin lesion classification.

Benny Wei-Yun Hsu, Vincent S. Tseng

Comput. Methods Programs Biomed., 2022

Principle-Based Approach for the De-Identification of Code-Mixed Electronic Health Records.

Chen-Kai Wang, Feng-Duo Wang, You-Qian Lee, Pei-Tsz Chen, Bo-Hong Wang, Chu-Hsien Su, Joseph Chin-Chi Kuo, Chi-Shin Wu, Yi-Ling Chien, Hong-Jie Dai, Vincent S. Tseng, Wen-Lian Hsu

IEEE Access, 2022

A Scalable Analytical Framework for Complex Event Episode Mining With Various Domains Applications.

Jerry C. C. Tseng, Sun-Yuan Hsieh, Vincent S. Tseng

IEEE Access, 2022

IPreMom: a continual learning-based image rating framework for infant precious moments capturing.

Yu Huang, Ju-Hui Tseng, Ching-Jui Hsiao, Hui-Mei Hung, Vincent S. Tseng

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Contrastive Heartbeats: Contrastive Learning for Self-Supervised ECG Representation and Phenotyping.

Crystal T. Wei, Ming-En Hsieh, Chien-Liang Liu, Vincent S. Tseng

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A Survey of Utility-Oriented Pattern Mining.

Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2021

Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints.

Yu Huang, Josh Jia-Ching Ying, Philip S. Yu, Vincent S. Tseng

ACM Trans. Knowl. Discov. Data, 2021

Guest Editorial: Artificial Intelligence for Securing Industrial-Based Cyber-Physical Systems.

Gautam Srivastava, Jerry Chun-Wei Lin, Xuyun Zhang, Vincent S. Tseng

IEEE Trans. Ind. Informatics, 2021

Spatio-attention embedded recurrent neural network for air quality prediction.

Yu Huang, Josh Jia-Ching Ying, Vincent S. Tseng

Knowl. Based Syst., 2021

Editor's Note.

Jerry Chun-Wei Lin, Gautam Srivastava, Vincent S. Tseng

Int. J. Interact. Multim. Artif. Intell., 2021

Convolutional neural network based automatic screening tool for cardiovascular diseases using different intervals of ECG signals.

Hao Dai, Hsin-Ginn Hwang, Vincent S. Tseng

Comput. Methods Programs Biomed., 2021

IEEE Access Special Section Editorial: Utility-Pattern Mining: Theoretical Analytics and Applications.

Jerry Chun-Wei Lin, Philippe Fournier-Viger, Vincent S. Tseng, Philip S. Yu

IEEE Access, 2021

Stable High Utility Itemset Mining.

Acquah Hackman, Yu Huang, Philippe Fournier-Viger, Vincent S. Tseng

Proceedings of the iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence, Linz, Austria, 29 November 2021, 2021

GAWD: graph anomaly detection in weighted directed graph databases.

Meng-Chieh Lee, Hung T. Nguyen, Dimitris Berberidis, Vincent S. Tseng, Leman Akoglu

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020

A Personalized Music Recommender System Using User Contents, Music Contents and Preference Ratings.

Ja-Hwung Su, Chu-Yu Chin, Yi-Wen Liao, Hsiao-Chuan Yang, Vincent S. Tseng, Sun-Yuan Hsieh

Vietnam. J. Comput. Sci., 2020

Efficient methods for mining weighted clickstream patterns.

Huy Minh Huynh, Loan T. T. Nguyen, Bay Vo, Anh Nguyen, Vincent S. Tseng

Expert Syst. Appl., 2020

Computational Intelligence Techniques for Combating COVID-19: A Survey.

Vincent S. Tseng, Josh Jia-Ching Ying, Stephen T. C. Wong, Diane J. Cook, Jiming Liu

IEEE Comput. Intell. Mag., 2020

[Guest Editorial].

Vincent S. Tseng, Stephen T. C. Wong, Diane J. Cook, Jiming Liu

IEEE Comput. Intell. Mag., 2020

Predicting Ventricular Fibrillation Through Deep Learning.

Li-Ming Tseng, Vincent S. Tseng

IEEE Access, 2020

An Effective and Efficient Algorithm for Detecting Exact Deletion Breakpoints from Viral Next-Generation Sequencing Data.

Ji-Hong Cheng, Wen-Chun Liu, Ting-Tsung Chang, Sun-Yuan Hsieh, Vincent S. Tseng

Proceedings of the International Computer Symposium, 2020

AutoAudit: Mining Accounting and Time-Evolving Graphs.

Meng-Chieh Lee, Yue Zhao, Aluna Wang, Pierre Jinghong Liang, Leman Akoglu, Vincent S. Tseng, Christos Faloutsos

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

PURL: Periodic User Representation Learning from Temporal Event Records for Personalized Health Management.

Yu Huang, Chih-Ling Hsu, Vincent S. Tseng

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2019

Discovering negative comments by sentiment analysis on web forum.

Wei-Yun Hsu, Hui-Huang Hsu, Vincent S. Tseng

World Wide Web, 2019

Mining high-utility itemsets in dynamic profit databases.

Loan T. T. Nguyen, Phuc Nguyen, Trinh D. D. Nguyen, Bay Vo, Philippe Fournier-Viger, Vincent S. Tseng

Knowl. Based Syst., 2019

Parallel big image data retrieval by conceptualised clustering and un-conceptualised clustering.

Ja-Hwung Su, Chu-Yu Chin, Jyun-Yu Li, Vincent S. Tseng

Int. J. High Perform. Comput. Netw., 2019

Epileptic Seizure Prediction With Multi-View Convolutional Neural Networks.

Chien-Liang Liu, Bin Xiao, Wen-Hoar Hsaio, Vincent S. Tseng

IEEE Access, 2019

Parallel Mining of Top-k High Utility Itemsets in Spark In-Memory Computing Architecture.

Chun-Han Lin, Cheng-Wei Wu, JianTao Huang, Vincent S. Tseng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism.

En-Yu Hsu, Chien-Liang Liu, Vincent S. Tseng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Long-Term Traffic Time Prediction Using Deep Learning with Integration of Weather Effect.

Chih-Hsin Chou, Yu Huang, Chian-Yun Huang, Vincent S. Tseng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

An Efficient Algorithm for Mining High Utility Quantitative Itemsets.

Chia Hua Li, Cheng-Wei Wu, JianTao Huang, Vincent S. Tseng

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Robust Sensor-based Human Activity Recognition with Snippet Consensus Neural Networks.

Yu Huang, Meng-Chieh Lee, Vincent S. Tseng, Ching-Jui Hsiao, Chi-Chiang Huang

Proceedings of the 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2019

Large-scale Classification of 12-lead ECG with Deep Learning.

Yu-Jhen Chen, Chien-Liang Liu, Vincent S. Tseng, Yu-Feng Hu, Shih-Ann Chen

Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

DeepIdentifier: A Deep Learning-Based Lightweight Approach for User Identity Recognition.

Meng-Chieh Lee, Yu Huang, Josh Jia-Ching Ying, Chien Chen, Vincent S. Tseng

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

Mining Emerging High Utility Itemsets over Streaming Database.

Acquah Hackman, Yu Huang, Philip S. Yu, Vincent S. Tseng

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2018

<i>FrauDetector</i>⁺: An Incremental Graph-Mining Approach for Efficient Fraudulent Phone Call Detection.

Josh Jia-Ching Ying, Ji Zhang, Che-Wei Huang, Kuan-Ta Chen, Vincent S. Tseng

ACM Trans. Knowl. Discov. Data, 2018

Emerging Product Topics Prediction in Social Media without Social Structure Information.

Sinya Peng, Vincent S. Tseng, Che-Wei Liang, Man-Kwan Shan

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Effective Risk Assessment of Type 2 Diabetes Using Diagnostic Information Retrieval.

Chu-Yu Chin, Sun-Yuan Hsieh, Vincent S. Tseng

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

Deep Discriminative Features Learning and Sampling for Imbalanced Data Problem.

Yi-Hsun Liu, Chien-Liang Liu, Shin-Mu Tseng

Proceedings of the IEEE International Conference on Data Mining, 2018

Multivariate Time Series Early Classification Using Multi-Domain Deep Neural Network.

Huai-Shuo Huang, Chien-Liang Liu, Vincent S. Tseng

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Mining Trending High Utility Itemsets from Temporal Transaction Databases.

Acquah Hackman, Yu Huang, Vincent S. Tseng

Proceedings of the Database and Expert Systems Applications, 2018

Music Recommendation Based on Information of User Profiles, Music Genres and User Ratings.

Ja-Hwung Su, Chu-Yu Chin, Hsiao-Chuan Yang, Vincent S. Tseng, Sun-Yuan Hsieh

Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2017

An Efficient Framework for Multirequest Route Planning in Urban Environments.

Eric Hsueh-Chan Lu, Huan-Sheng Chen, Vincent S. Tseng

IEEE Trans. Intell. Transp. Syst., 2017

Mining Sequential Risk Patterns From Large-Scale Clinical Databases for Early Assessment of Chronic Diseases: A Case Study on Chronic Obstructive Pulmonary Disease.

Yi-Ting Cheng, Yu-Feng Lin, Kuo-Hwa Chiang, Vincent S. Tseng

IEEE J. Biomed. Health Informatics, 2017

Efficiently mining uncertain high-utility itemsets.

Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng

Soft Comput., 2017

EFIM: a fast and memory efficient algorithm for high-utility itemset mining.

Souleymane Zida, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng

Knowl. Inf. Syst., 2017

Efficiently mining high utility sequential patterns in static and streaming data.

Morteza Zihayat, Cheng-Wei Wu, Aijun An, Vincent S. Tseng, Chien Lin

Intell. Data Anal., 2017

Effective social content-based collaborative filtering for music recommendation.

Ja-Hwung Su, Wei-Yi Chang, Vincent S. Tseng

Intell. Data Anal., 2017

A novel methodology for stock investment using high utility episode mining and genetic algorithm.

Yu-Feng Lin, Chien-Feng Huang, Vincent S. Tseng

Appl. Soft Comput., 2017

A Big Data Analytical Framework for Sports Behavior Mining and Personalized Health Services.

Vincent S. Tseng, Chih-Hsin Chou, Kai-Qi Yang, Jerry C. C. Tseng

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2017

Mining Life Patterns from Wearable Sensors Data for Elderly Anomaly Detection.

Cheng-Hung Tsai, Cheng-Hao Chu, Sun-Wei Liu, Sun-Yuan Hsieh, Vincent S. Tseng

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2017

Early Classification of Multivariate Time Series on Distributed and In-Memory Platforms.

Vincent S. Tseng, Huai-Shuo Huang, Chia-Wei Huang, Ping-Feng Wang, Chu-Feng Li

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2017

A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset.

Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Wessam Abbas, Yonglong Luo, Fulong Chen, Vincent S. Tseng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Mining High-Utility Itemsets with Both Positive and Negative Unit Profits from Uncertain Databases.

Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao, Vincent S. Tseng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Efficient Multi-Destinations Route Planning with Deadlines and Cost Constraints.

Yu Huang, Bo-Hau Lin, Vincent S. Tseng

Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

Efficient big image data retrieval using clustering index and parallel computation.

Ja-Hwung Su, Chu-Yu Chin, Jyun-Yu Li, Vincent S. Tseng

Proceedings of the IEEE 8th International Conference on Awareness Science and Technology, 2017

Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining.

Mun Hou Wong, Vincent S. Tseng, Jerry C. C. Tseng, Sun-Wei Liu, Cheng-Hung Tsai

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016

An intelligent recommender system based on predictive analysis in telehealthcare environment.

Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Vincent S. Tseng, Yonglong Luo, Fulong Chen

Web Intell., 2016

Efficient Algorithms for Mining Top-K High Utility Itemsets.

Vincent S. Tseng, Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2016

Efficient algorithms for mining high-utility itemsets in uncertain databases.

Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng

Knowl. Based Syst., 2016

A GA-based approach for finding appropriate granularity levels of patterns from time series.

Chun-Hao Chen, Vincent S. Tseng, Hsieh-Hui Yu, Tzung-Pei Hong, Neil Y. Yen

Int. J. Web Grid Serv., 2016

Integrating tourist packages and tourist attractions for personalized trip planning based on travel constraints.

Eric Hsueh-Chan Lu, Shih Hsin Fang, Vincent S. Tseng

GeoInformatica, 2016

Weighted frequent itemset mining over uncertain databases.

Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng

Appl. Intell., 2016

Fast algorithms for mining high-utility itemsets with various discount strategies.

Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng

Adv. Eng. Informatics, 2016

Efficient Mining of Uncertain Data for High-Utility Itemsets.

Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng

Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Efficient closed high-utility itemset mining.

Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

EFIM-Closed: Fast and Memory Efficient Discovery of Closed High-Utility Itemsets.

Philippe Fournier-Viger, Souleymane Zida, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

PFrauDetector: A Parallelized Graph Mining Approach for Efficient Fraudulent Phone Call Detection.

Josh Jia-Ching Ying, Ji Zhang, Che-Wei Huang, Kuan-Ta Chen, Vincent S. Tseng

Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

Mining Minimal High-Utility Itemsets.

Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng, Usef Faghihi

Proceedings of the Database and Expert Systems Applications, 2016

A scalable complex event analytical system with incremental episode mining over data streams.

Jerry C. C. Tseng, Jia-Yuan Gu, Ping-Feng Wang, Ching-Yu Chen, Chu-Feng Li, Vincent S. Tseng

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Mining disease sequential risk patterns from nationwide clinical databases for early assessment of chronic obstructive pulmonary disease.

Yi-Ting Cheng, Yu-Feng Lin, Kuo-Hwa Chiang, Vincent S. Tseng

Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

IRS-HD: An Intelligent Personalized Recommender System for Heart Disease Patients in a Tele-Health Environment.

Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Vincent S. Tseng

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015

Intelligent interaction, reasoning, and applications.

Chao-Lin Liu, Mitsunori Matsushita, Yasufumi Takama, Min-Yuh Day, Vincent Shin-Mu Tseng

Web Intell., 2015

Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets.

Vincent S. Tseng, Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2015

Mining Partially-Ordered Sequential Rules Common to Multiple Sequences.

Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng, Longbing Cao, Roger Nkambou

IEEE Trans. Knowl. Data Eng., 2015

Finding Active Membership Functions for Genetic-Fuzzy Data Mining.

Chun-Hao Chen, Tzung-Pei Hong, Yeong-Chyi Lee, Vincent S. Tseng

Int. J. Inf. Technol. Decis. Mak., 2015

Discovering utility-based episode rules in complex event sequences.

Yu-Feng Lin, Cheng-Wei Wu, Chien-Feng Huang, Vincent S. Tseng

Expert Syst. Appl., 2015

Efficient algorithms for mining up-to-date high-utility patterns.

Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Vincent S. Tseng

Adv. Eng. Informatics, 2015

An Intelligent Recommender System Based on Short-Term Risk Prediction for Heart Disease Patients.

Raid Lafta, Ji Zhang, Xiaohui Tao, Yan Li, Vincent S. Tseng

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Mining closed+ high utility itemsets without candidate generation.

Cheng-Wei Wu, Philippe Fournier-Viger, Jia-Yuan Gu, Vincent S. Tseng

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

An interactive healthcare system with personalized diet and exercise guideline recommendation.

Jerry C. C. Tseng, Bo-Hau Lin, Yu-Feng Lin, Vincent S. Tseng, Miin-Luen Day, Shyh-Chyi Wang, Kuen-Rong Lo, Yi-Ching Yang

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

Mining High Utility Itemsets in Big Data.

Ying Chun Lin, Cheng-Wei Wu, Vincent S. Tseng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes.

Yu-Feng Lin, Hsuan-Hsu Chen, Vincent S. Tseng, Jian Pei

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree.

Ted Gueniche, Philippe Fournier-Viger, Rajeev Raman, Vincent S. Tseng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Efficient Mining of High-Utility Sequential Rules.

Souleymane Zida, Philippe Fournier-Viger, Cheng-Wei Wu, Jerry Chun-Wei Lin, Vincent S. Tseng

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

EFIM: A Highly Efficient Algorithm for High-Utility Itemset Mining.

Souleymane Zida, Philippe Fournier-Viger, Jerry Chun-Wei Lin, Cheng-Wei Wu, Vincent S. Tseng

Proceedings of the Advances in Artificial Intelligence and Soft Computing, 2015

FrauDetector: A Graph-Mining-based Framework for Fraudulent Phone Call Detection.

Vincent S. Tseng, Jia-Ching Ying, Che-Wei Huang, Yimin Kao, Kuan-Ta Chen

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

A Novel Complex-Events Analytical System Using Episode Pattern Mining Techniques.

Jerry C. C. Tseng, Jia-Yuan Gu, Ping-Feng Wang, Ching-Yu Chen, Vincent S. Tseng

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

Hewin: High expected weighted itemset mining in uncertain databases.

Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Vincent S. Tseng

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

UP-Miner: A Utility Pattern Mining Toolbox.

Vincent S. Tseng, Cheng-Wei Wu, Jun-Han Lin, Philippe Fournier-Viger

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Mining high-utility itemsets with various discount strategies.

Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Mining High Utility Sequential Patterns from Evolving Data Streams.

Morteza Zihayat, Cheng-Wei Wu, Aijun An, Vincent S. Tseng

Proceedings of the ASE BigData & SocialInformatics 2015, 2015

Transfer Learning on High Variety Domains for Activity Recognition.

Josh Jia-Ching Ying, Bo-Hau Lin, Vincent S. Tseng, Sun-Yuan Hsieh

Proceedings of the ASE BigData & SocialInformatics 2015, 2015

Mining Potential High-Utility Itemsets over Uncertain Databases.

Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong, Vincent S. Tseng

Proceedings of the ASE BigData & SocialInformatics 2015, 2015

2014

Mining User Check-In Behavior with a Random Walk for Urban Point-of-Interest Recommendations.

Josh Jia-Ching Ying, Wen-Ning Kuo, Vincent S. Tseng, Eric Hsueh-Chan Lu

ACM Trans. Intell. Syst. Technol., 2014

An efficient projection-based indexing approach for mining high utility itemsets.

Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng

Knowl. Inf. Syst., 2014

SPMF: a Java open-source pattern mining library.

Philippe Fournier-Viger, Antonio Gomariz, Ted Gueniche, Azadeh Soltani, Cheng-Wei Wu, Vincent S. Tseng

J. Mach. Learn. Res., 2014

A Novel Episode Mining Methodology for Stock Investment.

Yu-Feng Lin, Chien-Feng Huang, Vincent S. Tseng

J. Inf. Sci. Eng., 2014

Prediction of regulatory gene pairs using dynamic time warping and gene ontology.

Andy C. Yang, Hui-Huang Hsu, Ming-Da Lu, Vincent S. Tseng, Timothy K. Shih

Int. J. Data Min. Bioinform., 2014

Effective peak alignment for mass spectrometry data analysis using two-phase clustering approach.

Yu-Cheng Liu, Lien-Chin Chen, Chi-Wei Liu, Vincent S. Tseng

Int. J. Data Min. Bioinform., 2014

Semantic trajectory-based high utility item recommendation system.

Jia-Ching Ying, Huan-Sheng Chen, Kawuu Weicheng Lin, Eric Hsueh-Chan Lu, Vincent S. Tseng, Huan-Wen Tsai, Kuang Hung Cheng, Shun-Chieh Lin

Expert Syst. Appl., 2014

Applying the maximum utility measure in high utility sequential pattern mining.

Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng, Shyue-Liang Wang

Expert Syst. Appl., 2014

On-shelf utility mining with negative item values.

Guo-Cheng Lan, Tzung-Pei Hong, Jen-Peng Huang, Vincent S. Tseng

Expert Syst. Appl., 2014

MiningABs: mining associated biomarkers across multi-connected gene expression datasets.

Chun-Pei Cheng, Christopher M. DeBoever, Kelly A. Frazer, Yu-Cheng Liu, Vincent S. Tseng

BMC Bioinform., 2014

Network-based analysis identifies epigenetic biomarkers of esophageal squamous cell carcinoma progression.

Chun-Pei Cheng, I-Ying Kuo, Hakan Alakus, Kelly A. Frazer, Olivier Harismendy, Yi-Ching Wang, Vincent S. Tseng

Bioinform., 2014

A Framework for Personalized Diet and Exercise Guideline Recommendation.

Yu-Feng Lin, Cheng-Hao Chu, Bo-Hau Lin, Yi-Ching Yang, Vincent S. Tseng, Miin-Luen Day, Shyh-Chyi Wang, Kuen-Rong Lo

Proceedings of the Technologies and Applications of Artificial Intelligence, 2014

Trip Recommendation with Multiple User Constraints by Integrating Point-of-Interests and Travel Packages.

Shih Hsin Fang, Eric Hsueh-Chan Lu, Vincent S. Tseng

Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

WBPL: An Open-Source Library for Predicting Web Surfing Behaviors.

Ted Gueniche, Philippe Fournier-Viger, Roger Nkambou, Vincent S. Tseng

Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning.

Philippe Fournier-Viger, Cheng-Wei Wu, Souleymane Zida, Vincent S. Tseng

Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014

Efficient Mining of Frequent Target Episodes from Complex Event Sequences.

Yu-Feng Lin, Pei-Wen Jiang, Vincent S. Tseng

Proceedings of the Intelligent Systems and Applications, 2014

ERMiner: Sequential Rule Mining Using Equivalence Classes.

Philippe Fournier-Viger, Ted Gueniche, Souleymane Zida, Vincent S. Tseng

Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

Semantic content-based music retrieval using audio and fuzzy-music-sense features.

Ja-Hwung Su, Chun-Yen Wang, Ting-Wei Chiu, Josh Jia-Ching Ying, Vincent S. Tseng

Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

Efficient vertical mining of high utility quantitative itemsets.

Chia Hua Li, Cheng-Wei Wu, Vincent S. Tseng

Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

Location semantics prediction for living analytics by mining smartphone data.

Chi-Min Huang, Josh Jia-Ching Ying, Vincent S. Tseng, Zhi-Hua Zhou

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

VMSP: Efficient Vertical Mining of Maximal Sequential Patterns.

Philippe Fournier-Viger, Cheng-Wei Wu, Antonio Gomariz, Vincent S. Tseng

Proceedings of the Advances in Artificial Intelligence, 2014

Novel Concise Representations of High Utility Itemsets Using Generator Patterns.

Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng

Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2013

Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases.

Vincent S. Tseng, Bai-En Shie, Cheng-Wei Wu, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2013

Mining geographic-temporal-semantic patterns in trajectories for location prediction.

Josh Jia-Ching Ying, Wang-Chien Lee, Vincent S. Tseng

ACM Trans. Intell. Syst. Technol., 2013

Time series pattern discovery by a PIP-based evolutionary approach.

Chun-Hao Chen, Vincent S. Tseng, Hsieh-Hui Yu, Tzung-Pei Hong

Soft Comput., 2013

Preference-oriented mining techniques for location-based store search.

Jess Soo-Fong Tan, Eric Hsueh-Chan Lu, Vincent S. Tseng

Knowl. Inf. Syst., 2013

Efficient algorithms for discovering high utility user behavior patterns in mobile commerce environments.

Bai-En Shie, Hui-Fang Hsiao, Vincent S. Tseng

Knowl. Inf. Syst., 2013

A hybrid scheme for energy-efficient object tracking in sensor networks.

Ming-Hua Hsieh, Kawuu Weicheng Lin, Vincent S. Tseng

Knowl. Inf. Syst., 2013

Mining differential top-k co-expression patterns from time course comparative gene expression datasets.

Yu-Cheng Liu, Chun-Pei Cheng, Vincent S. Tseng

BMC Bioinform., 2013

An efficient method for mining cross-timepoint gene regulation sequential patterns from time course gene expression datasets.

Chun-Pei Cheng, Yu-Cheng Liu, Yi-Lin Tsai, Vincent S. Tseng

BMC Bioinform., 2013

Mining interesting user behavior patterns in mobile commerce environments.

Bai-En Shie, Philip S. Yu, Vincent S. Tseng

Appl. Intell., 2013

Preference-Aware Community Detection for Item Recommendation.

Jia-Ching Ying, Bo-Nian Shi, Vincent S. Tseng, Huan-Wen Tsai, Kuang Hung Cheng, Shun-Chieh Lin

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

TripCloud: An Intelligent Cloud-Based Trip Recommendation System.

Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Bo-Nian Shi, Vincent S. Tseng

Proceedings of the Advances in Spatial and Temporal Databases, 2013

TNS: mining top-k non-redundant sequential rules.

Philippe Fournier-Viger, Vincent S. Tseng

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Efficient Approaches for Multi-requests Route Planning in Urban Areas.

Eric Hsueh-Chan Lu, Huan-Sheng Chen, Vincent S. Tseng

Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management, Milan, Italy, June 3-6, 2013, 2013

Personalized Music Recommendation by Mining Social Media Tags.

Ja-Hwung Su, Wei-Yi Chang, Vincent S. Tseng

Proceedings of the 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2013

Mining high utility episodes in complex event sequences.

Cheng-Wei Wu, Yu-Feng Lin, Philip S. Yu, Vincent S. Tseng

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Empirical analysis of multi-labeling algorithms for music emotion annotation.

Ja-Hwung Su, Yi-Cheng Tsai, Vincent S. Tseng

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction.

Ted Gueniche, Philippe Fournier-Viger, Vincent S. Tseng

Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

Mining Maximal Sequential Patterns without Candidate Maintenance.

Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng

Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

2012

A Framework for Personal Mobile Commerce Pattern Mining and Prediction.

Eric Hsueh-Chan Lu, Wang-Chien Lee, Vincent Shin-Mu Tseng

IEEE Trans. Knowl. Data Eng., 2012

Societally connected multimedia across cultures.

Zhongfei Zhang, Zhengyou Zhang, Ramesh C. Jain, Yueting Zhuang, Noshir S. Contractor, Alexander G. Hauptmann, Alejandro Jaimes, Wanqing Li, Alexander C. Loui, Tao Mei, Nicu Sebe, Yonghong Tian, Vincent S. Tseng, Qing Wang, Changsheng Xu, Huimin Yu, Shiwen Yu

J. Zhejiang Univ. Sci. C, 2012

A Projection-Based Approach for Discovering High Average-Utility Itemsets.

Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng

J. Inf. Sci. Eng., 2012

Editorial for the special issue of service computing and service oriented enterprise systems in design, manufacturing and supply chain.

Ying Liu, Rossi Setchi, Vincent S. Tseng, Feng Chun Wang

J. Intell. Manuf., 2012

Efficiently Mining High Average-Utility Itemsets with an Improved Upper-Bound Strategy.

Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng

Int. J. Inf. Technol. Decis. Mak., 2012

Finding Pareto-front Membership Functions in Fuzzy Data Mining.

Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng

Int. J. Comput. Intell. Syst., 2012

Efficient algorithms for mining maximal high utility itemsets from data streams with different models.

Bai-En Shie, Philip S. Yu, Vincent S. Tseng

Expert Syst. Appl., 2012

Fuzzy data mining for time-series data.

Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng

Appl. Soft Comput., 2012

A Mobile Framework for Personalized Diabetes Telecare.

I-Hen Tsai, Yu-Feng Lin, Yi-Ching Yang, Vincent S. Tseng

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2012

Effective Music Retrieval by Sequential Pattern-Based Alignment.

Ja-Hwung Su, Shao-Yu Fu, Vincent S. Tseng

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2012

A Novel Methodology for Stock Investment Using Episode Mining and Technical Indicators.

Yu-Feng Lin, Chien-Feng Huang, Vincent S. Tseng

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2012

Disease Risk Prediction by Mining Personalized Health Trend Patterns: A Case Study on Diabetes.

Guo-Cheng Lan, Chao-Hui Lee, Yu-Yen Lee, Vincent S. Tseng, Jin-Shang Wu, Chu-Yu Chin, Miin-Luen Day, Shyh-Chyi Wang, Ching-Nain Chang, Shyr-Yuan Cheng

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2012

TAAI 2012 Preface.

Yau-Hwang Kuo, Vincent Shin-Mu Tseng, Hung-Yu Kao, Tzung-Pei Hong, Mong-Fong Horng

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2012

Urban point-of-interest recommendation by mining user check-in behaviors.

Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Wen-Ning Kuo, Vincent S. Tseng

Proceedings of the ACM SIGKDD International Workshop on Urban Computing, 2012

Mining top-K high utility itemsets.

Cheng-Wei Wu, Bai-En Shie, Vincent S. Tseng, Philip S. Yu

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Mining Top-K Non-redundant Association Rules.

Philippe Fournier-Viger, Vincent S. Tseng

Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

A One-Phase Method for Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments.

Bai-En Shie, Ji-Hong Cheng, Kun-Ta Chuang, Vincent S. Tseng

Proceedings of the Advanced Research in Applied Artificial Intelligence, 2012

Followee recommendation in asymmetrical location-based social networks.

Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Vincent S. Tseng

Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

Mining web navigation patterns with dynamic thresholds for navigation prediction.

Jia-Ching Ying, Chu-Yu Chin, Vincent S. Tseng

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Efficient pattern-based conceptual image retrieval.

Ja-Hwung Su, Chun-Yi Kuo, Vincent S. Tseng

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

An improved approach for sequential utility pattern mining.

Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng, Shyue-Liang Wang

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

Personalized trip recommendation with multiple constraints by mining user check-in behaviors.

Eric Hsueh-Chan Lu, Ching-Yu Chen, Vincent S. Tseng

Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012

CTGR-Span: Efficient mining of cross-timepoint gene regulation sequential patterns from microarray datasets.

Chun-Pei Cheng, Yi-Lin Tsai, Vincent S. Tseng

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

Mining Sequential Rules Common to Several Sequences with the Window Size Constraint.

Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng, Roger Nkambou

Proceedings of the Advances in Artificial Intelligence, 2012

Mining Top-K Association Rules.

Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng

Proceedings of the Advances in Artificial Intelligence, 2012

Using Partially-Ordered Sequential Rules to Generate More Accurate Sequence Prediction.

Philippe Fournier-Viger, Ted Gueniche, Vincent S. Tseng

Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011

Effective Semantic Annotation by Image-to-Concept Distribution Model.

Ja-Hwung Su, Chien-Li Chou, Ching-Yung Lin, Vincent S. Tseng

IEEE Trans. Multim., 2011

Efficient Relevance Feedback for Content-Based Image Retrieval by Mining User Navigation Patterns.

Ja-Hwung Su, Wei-Jyun Huang, Philip S. Yu, Vincent S. Tseng

IEEE Trans. Knowl. Data Eng., 2011

Mining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based Service Environments.

Eric Hsueh-Chan Lu, Vincent S. Tseng, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2011

Genetic-fuzzy mining with multiple minimum supports based on fuzzy clustering.

Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng

Soft Comput., 2011

Mining fastest path from trajectories with multiple destinations in road networks.

Eric Hsueh-Chan Lu, Wang-Chien Lee, Vincent S. Tseng

Knowl. Inf. Syst., 2011

Hybrid data mining approaches for prevention of drug dispensing errors.

Lien-Chin Chen, Chun-Hao Chen, Hsiao-Ming Chen, Vincent S. Tseng

J. Intell. Inf. Syst., 2011

An Intelligent and Effective Mechanism for Mental Disorder Treatment by Using Biofeedback Analysis and Web Technologies.

Bai-En Shie, Fong-Lin Jang, Vincent S. Tseng

Int. J. Softw. Eng. Knowl. Eng., 2011

Microarray data classification by multi-information based gene scoring integrated with Gene Ontology.

Vincent S. Tseng, Hsieh-Hui Yu

Int. J. Data Min. Bioinform., 2011

WF-MSB: A weighted fuzzy-based biclustering method for gene expression data.

Lien-Chin Chen, Philip S. Yu, Vincent S. Tseng

Int. J. Data Min. Bioinform., 2011

Discovery of high utility itemsets from on-shelf time periods of products.

Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng

Expert Syst. Appl., 2011

A novel data mining mechanism considering bio-signal and environmental data with applications on asthma monitoring.

Chao-Hui Lee, Jessie Chia-Yu Chen, Vincent S. Tseng

Comput. Methods Programs Biomed., 2011

Discovering relational-based association rules with multiple minimum supports on microarray datasets.

Yu-Cheng Liu, Chun-Pei Cheng, Vincent S. Tseng

Bioinform., 2011

RuleGrowth: mining sequential rules common to several sequences by pattern-growth.

Philippe Fournier-Viger, Roger Nkambou, Vincent Shin-Mu Tseng

Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Discovering Valuable User Behavior Patterns in Mobile Commerce Environments.

Bai-En Shie, Hui-Fang Hsiao, Philip S. Yu, Vincent S. Tseng

Proceedings of the New Frontiers in Applied Data Mining, 2011

Trip-Mine: An Efficient Trip Planning Approach with Travel Time Constraints.

Eric Hsueh-Chan Lu, Chih-Yuan Lin, Vincent S. Tseng

Proceedings of the 12th IEEE International Conference on Mobile Data Management, 2011

Challenges for Mobile Data Management in the Era of Cloud and Social Computing.

Chatschik Bisdikian, Bernhard Mitschang, Dino Pedreschi, Vincent S. Tseng, Claudio Bettini

Proceedings of the 12th IEEE International Conference on Mobile Data Management, 2011

Effective Content-Based Music Retrieval with Pattern-Based Relevance Feedback.

Ja-Hwung Su, Tzu-Shiang Hung, Chun-Jen Lee, Chung-Li Lu, Wei-Lun Chang, Vincent S. Tseng

Proceedings of the Knowlege-Based and Intelligent Information and Engineering Systems, 2011

Prediction of Essential Genes by Mining Gene Ontology Semantics.

Yu-Cheng Liu, Po-I Chiu, Hsuan-Cheng Huang, Vincent S. Tseng

Proceedings of the Bioinformatics Research and Applications - 7th International Symposium, 2011

Photosense: Make sense of your photos with enriched harmonic music via emotion association.

Ja-Hwung Su, Ming-Hua Hsieh, Tao Mei, Vincent S. Tseng

Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets.

Cheng-Wei Wu, Philippe Fournier-Viger, Philip S. Yu, Vincent S. Tseng

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

User association analysis of locales on location based social networks.

Josh Jia-Ching Ying, Wang-Chien Lee, Mao Ye, Ching-Yu Chen, Vincent S. Tseng

Proceedings of the 2011 International Workshop on Location Based Social Networks, 2011

Semantic trajectory mining for location prediction.

Josh Jia-Ching Ying, Wang-Chien Lee, Tz-Chiao Weng, Vincent S. Tseng

Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011

A fast algorithm for mining frequent closed itemsets over stream sliding window.

Show-Jane Yen, Cheng-Wei Wu, Yue-Shi Lee, Vincent S. Tseng, Chaur-Heh Hsieh

Proceedings of the FUZZ-IEEE 2011, 2011

Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments.

Bai-En Shie, Hui-Fang Hsiao, Vincent S. Tseng, Philip S. Yu

Proceedings of the Database Systems for Advanced Applications, 2011

Mining Top-K Sequential Rules.

Philippe Fournier-Viger, Vincent S. Tseng

Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010

Personalized rough-set-based recommendation by integrating multiple contents and collaborative information.

Ja-Hwung Su, Bo-Wen Wang, Chin-Yuan Hsiao, Vincent S. Tseng

Inf. Sci., 2010

Intelligent panic disorder treatment by using biofeedback analysis and web technologies.

Bai-En Shie, Fong-Lin Jang, Vincent S. Tseng

Int. J. Bus. Intell. Data Min., 2010

Music Recommendation Using Content and Context Information Mining.

Ja-Hwung Su, Hsin-Ho Yeh, Philip S. Yu, Vincent S. Tseng

IEEE Intell. Syst., 2010

Effective content-based video retrieval using pattern-indexing and matching techniques.

Ja-Hwung Su, Yu-Ting Huang, Hsin-Ho Yeh, Vincent S. Tseng

Expert Syst. Appl., 2010

A novel prediction-based strategy for object tracking in sensor networks by mining seamless temporal movement patterns.

Kawuu Weicheng Lin, Ming-Hua Hsieh, Vincent S. Tseng

Expert Syst. Appl., 2010

A novel two-level clustering method for time series data analysis.

Cheng-Ping Lai, Pau-Choo Chung, Vincent S. Tseng

Expert Syst. Appl., 2010

A novel music recommender by discovering preferable perceptual-patterns from music pieces.

Ja-Hwung Su, Hsin-Ho Yeh, Vincent S. Tseng

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Online mining of temporal maximal utility itemsets from data streams.

Bai-En Shie, Vincent S. Tseng, Philip S. Yu

Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

UP-Growth: an efficient algorithm for high utility itemset mining.

Vincent S. Tseng, Cheng-Wei Wu, Bai-En Shie, Philip S. Yu

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Effective image semantic annotation by discovering visual-concept associations from image-concept distribution model.

Ja-Hwung Su, Chien-Li Chou, Ching-Yung Lin, Vincent S. Tseng

Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010

PTCR-Miner: Progressive Temporal Class Rule Mining for Multivariate Temporal Data Classification.

Chao-Hui Lee, Vincent S. Tseng

Proceedings of the ICDMW 2010, 2010

Automatic Chinese Text Classification Using N-Gram Model.

Show-Jane Yen, Yue-Shi Lee, Yu-Chieh Wu, Jia-Ching Ying, Vincent S. Tseng

Proceedings of the Computational Science and Its Applications, 2010

A Summary of Genetic-Fuzzy Data Mining Techniques.

Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Genetic-Fuzzy Data Mining Techniques.

Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Mining user similarity from semantic trajectories.

Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Wang-Chien Lee, Tz-Chiao Weng, Vincent S. Tseng

Proceedings of the 2010 International Workshop on Location Based Social Networks, 2010

A SPEA2-based genetic-fuzzy mining algorithm.

Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng

Proceedings of the FUZZ-IEEE 2010, 2010

A novel peak alignment method for LC-MS data analysis using cluster-based techniques.

Yu-Cheng Liu, Lien-Chin Chen, Hui-Yin Chang, Hsin-Yi Wu, Pao-Chi Liao, Vincent S. Tseng

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

A Three-Scan Algorithm to Mine High On-Shelf Utility Itemsets.

Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng

Proceedings of the Intelligent Information and Database Systems, 2010

2009

Genetic-Fuzzy Data Mining Techniques.

Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng

Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

A genetic-fuzzy mining approach for items with multiple minimum supports.

Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, Chang-Shing Lee

Soft Comput., 2009

Cluster-based genetic segmentation of time series with DWT.

Vincent S. Tseng, Chun-Hao Chen, Pai-Chieh Huang, Tzung-Pei Hong

Pattern Recognit. Lett., 2009

Energy-efficient real-time object tracking in multi-level sensor networks by mining and predicting movement patterns.

Vincent S. Tseng, Eric Hsueh-Chan Lu

J. Syst. Softw., 2009

Trading decryption for speeding encryption in Rebalanced-RSA.

Hung-Min Sun, Mu-En Wu, M. Jason Hinek, Cheng-Ta Yang, Vincent S. Tseng

J. Syst. Softw., 2009

Efficient mining of multilevel gene association rules from microarray and gene ontology.

Vincent S. Tseng, Hsieh-Hui Yu, Shih-Chiang Yang

Inf. Syst. Frontiers, 2009

Effective temporal data classification by integrating sequential pattern mining and probabilistic induction.

Vincent S. Tseng, Chao-Hui Lee

Expert Syst. Appl., 2009

A novel method for personalized music recommendation.

Cheng-Che Lu, Vincent S. Tseng

Expert Syst. Appl., 2009

Mining fuzzy frequent trends from time series.

Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng

Expert Syst. Appl., 2009

An improved approach to find membership functions and multiple minimum supports in fuzzy data mining.

Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng

Expert Syst. Appl., 2009

An efficient algorithm for mining high utility itemsets with negative item values in large databases.

Chun-Jung Chu, Vincent Shin-Mu Tseng, Tyne Liang

Appl. Math. Comput., 2009

Mining Cluster-Based Mobile Sequential Patterns in Location-Based Service Environments.

Eric Hsueh-Chan Lu, Vincent S. Tseng

Proceedings of the MDM 2009, 2009

A Framework for Personalized Health Trend Analysis.

Guo-Cheng Lan, Chao-Hui Lee, Jin-Shang Wu, Huan-Chung Li, Shing-Hua Ho, Vincent S. Tseng

Proceedings of the 10th International Symposium on Pervasive Systems, 2009

Mining Temporal Region-Based Service Patterns for Cooperative Caching in Wireless Multimedia Sensor Networks.

Kawuu Weicheng Lin, Ming-Hua Hsieh, Vincent S. Tseng

Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009

Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning Original Databases.

Jia-Ching Ying, Vincent S. Tseng, Philip S. Yu

Proceedings of the ICDM Workshops 2009, 2009

Ontology-Based Semantic Web Image Retrieval by Utilizing Textual and Visual Annotations.

Ja-Hwung Su, Bo-Wen Wang, Hsin-Ho Yeh, Vincent S. Tseng

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2009

Speeding up genetic-fuzzy mining by fuzzy clustering.

Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng

Proceedings of the FUZZ-IEEE 2009, 2009

2008

Fining Active Membership Functions in Fuzzy Data Mining.

Tzung-Pei Hong, Chun-Hao Chen, Yu-Lung Wu, Vincent S. Tseng

Proceedings of the Data Mining: Foundations and Practice, 2008

Mining Linguistic Trends from Time Series.

Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng

Proceedings of the Data Mining: Foundations and Practice, 2008

Integrated Mining of Visual Features, Speech Features, and Frequent Patterns for Semantic Video Annotation.

Vincent S. Tseng, Ja-Hwung Su, Jhih-Hong Huang, Chih-Jen Chen

IEEE Trans. Multim., 2008

Cluster-Based Evaluation in Fuzzy-Genetic Data Mining.

Chun-Hao Chen, Vincent S. Tseng, Tzung-Pei Hong

IEEE Trans. Fuzzy Syst., 2008

Prediction of user navigation patterns by mining the temporal web usage evolution.

Vincent S. Tseng, Kawuu Weicheng Lin, Jeng-Chuan Chang

Soft Comput., 2008

An efficient algorithm for mining temporal high utility itemsets from data streams.

Chun-Jung Chu, Vincent S. Tseng, Tyne Liang

J. Syst. Softw., 2008

Intelligent Multimedia Recommender by Integrating Annotation and Association Mining.

Vincent S. Tseng, Ja-Hwung Su, Bo-Wen Wang, Chin-Yuan Hsiao, Jay Huang, Hsin-Ho Yeh

Proceedings of the IEEE International Conference on Sensor Networks, 2008

Energy Efficient Object Tracking in Sensor Networks by Mining Temporal Moving Patterns.

Vincent S. Tseng, Kawuu Weicheng Lin, Ming-Hua Hsieh

Proceedings of the IEEE International Conference on Sensor Networks, 2008

Semantic Video Annotation by Mining Association Patterns from Visual and Speech Features.

Vincent S. Tseng, Ja-Hwung Su, Jhih-Hong Huang, Chih-Jen Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Constrained Clustering for Gene Expression Data Mining.

Vincent S. Tseng, Lien-Chin Chen, Ching-Pin Kao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

A Cluster-Based Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports.

Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

Mining the Shortest Path within a Travel Time Constraint in Road Network Environments.

Eric Hsueh-Chan Lu, Chia-Ching Lin, Vincent S. Tseng

Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008

Mining Region-Based Movement Patterns for Energy-Efficient Object Tracking in Sensor Networks.

Vincent S. Tseng, Ming-Hua Hsieh, Kawuu Weicheng Lin

Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

Intelligent Concept-Oriented and Content-Based Image Retrieval by using data mining and query decomposition techniques.

Vincent S. Tseng, Ja-Hwung Su, Hao-Hua Ku, Bo-Wen Wang

Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008

Effective Ranking and Recommendation on Web Page Retrieval by Integrating Association Mining and PageRank.

Ja-Hwung Su, Bo-Wen Wang, Vincent S. Tseng

Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

A Multi-objective Genetic-fuzzy Mining Algorithm.

Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, Lien-Chin Chen

Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

A divide-and-conquer genetic-fuzzy mining approach for items with multiple minimum supports.

Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng

Proceedings of the FUZZ-IEEE 2008, 2008

Development of a Vital Sign Data Mining System for Chronic Patient Monitoring.

Vincent S. Tseng, Lee-Cheng Chen, Chao-Hui Lee, Jin-Shang Wu, Yu-Chia Hsu

Proceedings of the Second International Conference on Complex, 2008

A cluster-based genetic approach for segmentation of time series and pattern discovery.

Vincent S. Tseng, Chun-Hao Chen, Pai-Chieh Huang, Tzung-Pei Hong

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

An Integrated Data Mining System for Patient Monitoring with Applications on Asthma Care.

Vincent S. Tseng, Chao-Hui Lee, Jessie Chia-Yu Chen

Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

2007

A Novel Similarity-Based Fuzzy Clustering Algorithm by Integrating PCM and Mountain Method.

Vincent S. Tseng, Ching-Pin Kao

IEEE Trans. Fuzzy Syst., 2007

Energy efficient strategies for object tracking in sensor networks: A data mining approach.

Vincent S. Tseng, Kawuu Weicheng Lin

J. Syst. Softw., 2007

Web image annotation by fusing visual features and textual information.

Vincent S. Tseng, Ja-Hwung Su, Bo-Wen Wang, Yu-Ming Lin

Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

Effective Video Annotation by Mining Visual Features and Speech Features.

Vincent S. Tseng, Ja-Hwung Su, Chih-Jen Chen

Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007

FCBIR: A Fuzzy Matching Technique for Content-Based Image Retrieval.

Vincent S. Tseng, Ja-Hwung Su, Wei-Jyun Huang

Proceedings of the Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, 2007

Mining temporal mobile sequential patterns in location-based service environments.

Vincent S. Tseng, Eric Hsueh-Chan Lu, Cheng-Hsien Huang

Proceedings of the 13th International Conference on Parallel and Distributed Systems, 2007

A Comparison of Different Fitness Functions for Extracting Membership Functions Used in Fuzzy Data Mining.

Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng

Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Gene Relation Discovery by Mining Similar Subsequences in Time-Series Microarray Data.

Vincent S. Tseng, Lien-Chin Chen, Jian-Jie Liu

Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

Analysis and Prevention of Dispension Errors by Using Data Mining Techniques.

Vincent S. Tseng, Chun-Hao Chen, Hsiao-Ming Chen, Hui-Jen Chang, Chin-Tai Yu

Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

A modified approach to speed up genetic-fuzzy data mining with divide-and-conquer strategy.

Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

An Effective Approach for Mining Time-Series Gene Expression Profile.

Vincent S. Tseng, Yen-Lo Chen

Proceedings of the Foundations and Novel Approaches in Data Mining, 2006

A Multi-information Based Gene Scoring Method for Analysis of Gene Expression Data.

Hsieh-Hui Yu, Vincent Shin-Mu Tseng, Jiin-Haur Chuang

Trans. Comp. Sys. Biology, 2006

Efficient mining and prediction of user behavior patterns in mobile web systems.

Vincent S. Tseng, Kawuu Weicheng Lin

Inf. Softw. Technol., 2006

Towards Parameter-less and Similarity-based Fuzzy Clustering based on PCM Method.

Vincent S. Tseng, Ching-Pin Kao

Proceedings of the IEEE International Conference on Systems, 2006

Mining and prediction of temporal navigation patterns for personalized services in e-commerce.

Vincent S. Tseng, Jeng-Chuan Chang, Kawuu Weicheng Lin

Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Segmentation of Time Series by the Clustering and Genetic Algorithms.

Vincent S. Tseng, Chun-Hao Chen, Chien-Hsiang Chen, Tzung-Pei Hong

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

A Cluster-Based Fuzzy-Genetic Mining Approach for Association Rules and Membership Functions.

Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

A Less Domain-dependent Fuzzy Mining Algorithm for Frequent Trends.

Chun-Hao Chen, Tzung-Pei Hong, Vincent Shin-Mu Tseng

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Discovering Gene Clusters via Integrated Analysis on Time-Series and Group-Comparative Microarray Datasets.

Vincent S. Tseng, Lien-Chin Chen, Yao-Dung Hsieh

Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

Feature Selection for Medical Data Mining: Comparisons of Expert Judgment and Automatic Approaches.

Tsang-Hsiang Cheng, Chih-Ping Wei, Vincent S. Tseng

Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

2005

Efficiently Mining Gene Expression Data via a Novel Parameterless Clustering Method.

Vincent Shin-Mu Tseng, Ching-Pin Kao

IEEE ACM Trans. Comput. Biol. Bioinform., 2005

On the security of some proxy blind signature schemes.

Hung-Min Sun, Bin-Tsan Hsieh, Shin-Mu Tseng

J. Syst. Softw., 2005

Mining Temporal Moving Patterns in Object Tracking Sensor Networks.

Vincent Shin-Mu Tseng, Kawuu Weicheng Lin

Proceedings of the 2005 International Workshop on Ubiquitous Data Management (UDM 2005), 2005

CBS: A New Classification Method by Using Sequential Patterns.

Vincent Shin-Mu Tseng, Chao-Hui Lee

Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

An Energy-Efficient Approach for Real-Time Tracking of Moving Object in Multi-Level Sensor Networks.

Vincent Shin-Mu Tseng, Eric Hsueh-Chan Lu, Kawuu Weicheng Lin

Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2005), 2005

Classify By Representative Or Associations (CBROA): a hybrid approach for image classification.

Vincent S. Tseng, Chon-Jei Lee, Ja-Hwung Su

Proceedings of the 6th international workshop on Multimedia data mining, 2005

A New Method for Image Classification by Using Multilevel Association Rules.

Vincent Shin-Mu Tseng, Ming-Hsiang Wang, Ja-Hwung Su

Proceedings of the 21st International Conference on Data Engineering Workshops, 2005

Analyzing time-series data by fuzzy data-mining technique.

Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng

Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

Mining Sequential Mobile Access Patterns Efficiently in Mobile Web Systems.

Vincent Shin-Mu Tseng, Kawuu Weicheng Lin

Proceedings of the 19th International Conference on Advanced Information Networking and Applications (AINA 2005), 2005

2004

Mining multilevel and location-aware service patterns in mobile web environments.

Shin-Mu Tseng, Ching-Fu Tsui

IEEE Trans. Syst. Man Cybern. Part B, 2004

An Efficient Approach to Identifying and Validating Clusters in Multivariate Datasets with Applications in Gene Expression Analysis.

Vincent Shin-Mu Tseng, Ching-Pin Kao

J. Inf. Sci. Eng., 2004

Integrated Business Agents for Processing Free Text Information.

I-Heng Meng, Shin-Mu Tseng, Wei-Pang Yang

J. Inf. Sci. Eng., 2004

A Novel Parameter-Less Clustering Method for Mining Gene Expression Data.

Vincent Shin-Mu Tseng, Ching-Pin Kao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Cryptanalysis of Aydos et al.'s ECC-Based Wireless Authentication Protocol.

Hung-Min Sun, Bin-Tsan Hsieh, Shin-Mu Tseng

Proceedings of the 2004 IEEE International Conference on e-Technology, 2004

An Efficient Approach for Partial-Sum Queries in Data Cubes Using Hamming-Based Codes.

Chien-I Lee, Yu-Chiang Li, Shin-Mu Tseng

Proceedings of the Database Systems for Advances Applications, 2004

A Multi-Information based Gene Scoring Model with Applications on Analysis of Hepatocellular Carcinoma.

Hsieh-Hui Yu, Vincent Shin-Mu Tseng, Jiin-Haur Chuang

Proceedings of the 4th IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2004), 2004

2003

Mining and Validating Gene Expressions: Integrated Approach and Applications.

Shin-Mu Tseng, Ching-Pin Kao

Informatica (Slovenia), 2003

A Pre-Processing Method to Deal with Missing Values by Integrating Clustering and Regression Techniques.

Shin-Mu Tseng, Kuo-Ho Wang, Chien-I Lee

Appl. Artif. Intell., 2003

An Efficient Method for Mining Associated Service Patterns in Mobile Web Environments.

Shin-Mu Tseng, Ching-Fu Tsui

Proceedings of the 2003 ACM Symposium on Applied Computing (SAC), 2003

2002

Efficiently Mining Gene Expression Data via Integrated Clustering and Validation Techniques.

Vincent Shin-Mu Tseng, Ching-Pin Kao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002

2001

Scheduling value-based transactions in distributed real-time database systems.

Hong-Ren Chen, Yeh-Hao Chin, Shin-Mu Tseng

Proceedings of the 15th International Parallel & Distributed Processing Symposium (IPDPS-01), 2001

2000

Efficient mining of categorized association rules in large databases.

Shin-Mu Tseng

Proceedings of the IEEE International Conference on Systems, 2000

1998

Efficient Mining of Association Rules with Item Constraints.

Shin-Mu Tseng

Proceedings of the Discovery Science, 1998

1997

An Adaptive Value-Based Scheduling Policy for Multiprocessor Real-Time Database Systems.

Shin-Mu Tseng, Yeh-Hao Chin, Wei-Pang Yang

Proceedings of the Eighth International Workshop on Database and Expert Systems Applications, 1997

Dynamic Multiprocessor Scheduling for Supporting Real-Time Constraints.

Shin-Mu Tseng, Yeh-Hao Chin, Wei-Pang Yang

Proceedings of the Advances in Computing Science, 1997

1996

Scheduling Value-Based Transactions in Real-Time Main-Memory Databases.

Shin-Mu Tseng, Yeh-Hao Chin, Wei-Pang Yang

Proceedings of the Online-Proceedings of the First International Workshop on Real-Time Databases: Issues and Applications, 1996

1995

Scheduling real-time transactions with dynamic values: a performance evaluation.

Shin-Mu Tseng, Yeh-Hao Chin, Wei-Pang Yang

Proceedings of the 2nd International Workshop on Real-Time Computing Systems and Applications, October 25, 1995

1993

Prescheduling policy for real-time concurrency control: A performance evaluation.

Shin-Mu Tseng, Yeh-Hao Chin

J. Syst. Integr., 1993