Prescheduling policy for real-time concurrency control: A performance evaluation. - Shin-Mu Tseng; Yeh-Hao Chin (J. Syst. Integr., 1993)

Scheduling real-time transactions with dynamic values: a performance evaluation. - Shin-Mu Tseng; Yeh-Hao Chin; Wei-Pang Yang (RTCSA, 1995)

Scheduling Value-Based Transactions in Real-Time Main-Memory Databases. - Shin-Mu Tseng; Yeh-Hao Chin; Wei-Pang Yang (RTDB, 1996)

Dynamic Multiprocessor Scheduling for Supporting Real-Time Constraints. - Shin-Mu Tseng; Yeh-Hao Chin; Wei-Pang Yang (ASIAN, 1997)

An Adaptive Value-Based Scheduling Policy for Multiprocessor Real-Time Database Systems. - Shin-Mu Tseng; Yeh-Hao Chin; Wei-Pang Yang (DEXA Workshop, 1997)

Efficient Mining of Association Rules with Item Constraints. - Shin-Mu Tseng (Discovery Science, 1998)

Efficient mining of categorized association rules in large databases. - Shin-Mu Tseng (SMC, 2000)

Scheduling value-based transactions in distributed real-time database systems. - Hong-Ren Chen; Yeh-Hao Chin; Shin-Mu Tseng (IPDPS, 2001)

Efficiently Mining Gene Expression Data via Integrated Clustering and Validation Techniques. - Vincent Shin-Mu Tseng; Ching-Pin Kao (PAKDD, 2002)

An Efficient Method for Mining Associated Service Patterns in Mobile Web Environments. - Shin-Mu Tseng; Ching-Fu Tsui (SAC, 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)

Mining and Validating Gene Expressions: Integrated Approach and Applications. - Shin-Mu Tseng; Ching-Pin Kao (Informatica (Slovenia), 2003)

A Multi-Information based Gene Scoring Model with Applications on Analysis of Hepatocellular Carcinoma. - Hsieh-Hui Yu; Vincent Shin-Mu Tseng; Jiin-Haur Chuang (BIBE, 2004)

An Efficient Approach for Partial-Sum Queries in Data Cubes Using Hamming-Based Codes. - Chien-I Lee; Yu-Chiang Li; Shin-Mu Tseng (DASFAA, 2004)

Cryptanalysis of Aydos et al.'s ECC-Based Wireless Authentication Protocol. - Hung-Min Sun; Bin-Tsan Hsieh; Shin-Mu Tseng (EEE, 2004)

A Novel Parameter-Less Clustering Method for Mining Gene Expression Data. - Vincent Shin-Mu Tseng; Ching-Pin Kao (PAKDD, 2004)

Integrated Business Agents for Processing Free Text Information. - I-Heng Meng; Shin-Mu Tseng; Wei-Pang Yang (J. Inf. Sci. Eng., 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)

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)

Mining Sequential Mobile Access Patterns Efficiently in Mobile Web Systems. - Vincent Shin-Mu Tseng; Kawuu Weicheng Lin (AINA, 2005)

Analyzing time-series data by fuzzy data-mining technique. - Chun-Hao Chen; Tzung-Pei Hong; Vincent S. Tseng (GrC, 2005)

A New Method for Image Classification by Using Multilevel Association Rules. - Vincent Shin-Mu Tseng; Ming-Hsiang Wang; Ja-Hwung Su (ICDE Workshops, 2005)

Classify By Representative Or Associations (CBROA): a hybrid approach for image classification. - Vincent S. Tseng; Chon-Jei Lee; Ja-Hwung Su (MDM@KDD, 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 (RTCSA, 2005)

CBS: A New Classification Method by Using Sequential Patterns. - Vincent Shin-Mu Tseng; Chao-Hui Lee (SDM, 2005)

Mining Temporal Moving Patterns in Object Tracking Sensor Networks. - Vincent Shin-Mu Tseng; Kawuu Weicheng Lin (UDM, 2005)

On the security of some proxy blind signature schemes. - Hung-Min Sun; Bin-Tsan Hsieh; Shin-Mu Tseng (J. Syst. Softw., 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)

Feature Selection for Medical Data Mining: Comparisons of Expert Judgment and Automatic Approaches. - Tsang-Hsiang Cheng; Chih-Ping Wei; Vincent S. Tseng (CBMS, 2006)

Discovering Gene Clusters via Integrated Analysis on Time-Series and Group-Comparative Microarray Datasets. - Vincent S. Tseng; Lien-Chin Chen; Yao-Dung Hsieh (CBMS, 2006)

A Less Domain-dependent Fuzzy Mining Algorithm for Frequent Trends. - Chun-Hao Chen; Tzung-Pei Hong; Vincent Shin-Mu Tseng (FUZZ-IEEE, 2006)

A Cluster-Based Fuzzy-Genetic Mining Approach for Association Rules and Membership Functions. - Chun-Hao Chen; Tzung-Pei Hong; Vincent S. Tseng (FUZZ-IEEE, 2006)

Segmentation of Time Series by the Clustering and Genetic Algorithms. - Vincent S. Tseng; Chun-Hao Chen; Chien-Hsiang Chen; Tzung-Pei Hong (ICDM Workshops, 2006)

Mining and prediction of temporal navigation patterns for personalized services in e-commerce. - Vincent S. Tseng; Jeng-Chuan Chang; Kawuu Weicheng Lin (SAC, 2006)

Towards Parameter-less and Similarity-based Fuzzy Clustering based on PCM Method. - Vincent S. Tseng; Ching-Pin Kao (SMC, 2006)

Efficient mining and prediction of user behavior patterns in mobile web systems. - Vincent S. Tseng; Kawuu Weicheng Lin (Inf. Softw. Technol., 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)

An Effective Approach for Mining Time-Series Gene Expression Profile. - Vincent S. Tseng; Yen-Lo Chen (Foundations and Novel Approaches in Data Mining, 2006)

A modified approach to speed up genetic-fuzzy data mining with divide-and-conquer strategy. - Chun-Hao Chen; Tzung-Pei Hong; Vincent S. Tseng (IEEE Congress on Evolutionary Computation, 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 (CIBCB, 2007)

Gene Relation Discovery by Mining Similar Subsequences in Time-Series Microarray Data. - Vincent S. Tseng; Lien-Chin Chen; Jian-Jie Liu (CIBCB, 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 (FOCI, 2007)

Mining temporal mobile sequential patterns in location-based service environments. - Vincent S. Tseng; Eric Hsueh-Chan Lu; Cheng-Hsien Huang (ICPADS, 2007)

FCBIR: A Fuzzy Matching Technique for Content-Based Image Retrieval. - Vincent S. Tseng; Ja-Hwung Su; Wei-Jyun Huang (IFSA (2), 2007)

Effective Video Annotation by Mining Visual Features and Speech Features. - Vincent S. Tseng; Ja-Hwung Su; Chih-Jen Chen (IIH-MSP, 2007)

Web image annotation by fusing visual features and textual information. - Vincent S. Tseng; Ja-Hwung Su; Bo-Wen Wang; Yu-Ming Lin (SAC, 2007)

Energy efficient strategies for object tracking in sensor networks: A data mining approach. - Vincent S. Tseng; Kawuu Weicheng Lin (J. Syst. Softw., 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)

An Integrated Data Mining System for Patient Monitoring with Applications on Asthma Care. - Vincent S. Tseng; Chao-Hui Lee; Jessie Chia-Yu Chen (CBMS, 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 (IEEE Congress on Evolutionary Computation, 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 (CISIS, 2008)

A divide-and-conquer genetic-fuzzy mining approach for items with multiple minimum supports. - Chun-Hao Chen; Tzung-Pei Hong; Vincent S. Tseng (FUZZ-IEEE, 2008)

A Multi-objective Genetic-fuzzy Mining Algorithm. - Chun-Hao Chen; Tzung-Pei Hong; Vincent S. Tseng; Lien-Chin Chen (GrC, 2008)

Effective Ranking and Recommendation on Web Page Retrieval by Integrating Association Mining and PageRank. - Ja-Hwung Su; Bo-Wen Wang; Vincent S. Tseng (Web Intelligence/IAT Workshops, 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 (ICME, 2008)

Mining Region-Based Movement Patterns for Energy-Efficient Object Tracking in Sensor Networks. - Vincent S. Tseng; Ming-Hua Hsieh; Kawuu Weicheng Lin (ISDA (3), 2008)

Mining the Shortest Path within a Travel Time Constraint in Road Network Environments. - Eric Hsueh-Chan Lu; Chia-Ching Lin; Vincent S. Tseng (ITSC, 2008)

A Cluster-Based Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports. - Chun-Hao Chen; Tzung-Pei Hong; Vincent S. Tseng (PAKDD, 2008)

Constrained Clustering for Gene Expression Data Mining. - Vincent S. Tseng; Lien-Chin Chen; Ching-Pin Kao (PAKDD, 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 (PAKDD, 2008)

Energy Efficient Object Tracking in Sensor Networks by Mining Temporal Moving Patterns. - Vincent S. Tseng; Kawuu Weicheng Lin; Ming-Hua Hsieh (SUTC, 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 (SUTC, 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)

Prediction of user navigation patterns by mining the temporal web usage evolution. - Vincent S. Tseng; Kawuu Weicheng Lin; Jeng-Chuan Chang (Soft Comput., 2008)

Cluster-Based Evaluation in Fuzzy-Genetic Data Mining. - Chun-Hao Chen; Vincent S. Tseng; Tzung-Pei Hong (IEEE Trans. Fuzzy Syst., 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)

Mining Linguistic Trends from Time Series. - Chun-Hao Chen; Tzung-Pei Hong; Vincent S. Tseng (Data Mining: Foundations and Practice, 2008)

Fining Active Membership Functions in Fuzzy Data Mining. - Tzung-Pei Hong; Chun-Hao Chen; Yu-Lung Wu; Vincent S. Tseng (Data Mining: Foundations and Practice, 2008)

Speeding up genetic-fuzzy mining by fuzzy clustering. - Chun-Hao Chen; Tzung-Pei Hong; Vincent S. Tseng (FUZZ-IEEE, 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 (Web Intelligence/IAT Workshops, 2009)

Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning Original Databases. - Jia-Ching Ying; Vincent S. Tseng; Philip S. Yu (ICDM Workshops, 2009)

Mining Temporal Region-Based Service Patterns for Cooperative Caching in Wireless Multimedia Sensor Networks. - Kawuu Weicheng Lin; Ming-Hua Hsieh; Vincent S. Tseng (IIH-MSP, 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 (ISPAN, 2009)

Mining Cluster-Based Mobile Sequential Patterns in Location-Based Service Environments. - Eric Hsueh-Chan Lu; Vincent S. Tseng (Mobile Data Management, 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)

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)

Mining fuzzy frequent trends from time series. - Chun-Hao Chen; Tzung-Pei Hong; Vincent S. Tseng (Expert Syst. Appl., 2009)

A novel method for personalized music recommendation. - Cheng-Che Lu; Vincent S. Tseng (Expert Syst. Appl., 2009)

Effective temporal data classification by integrating sequential pattern mining and probabilistic induction. - Vincent S. Tseng; Chao-Hui Lee (Expert Syst. Appl., 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)

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)

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)

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)

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)

Genetic-Fuzzy Data Mining Techniques. - Tzung-Pei Hong; Chun-Hao Chen; Vincent S. Tseng (Encyclopedia of Complexity and Systems Science, 2009)

A Three-Scan Algorithm to Mine High On-Shelf Utility Itemsets. - Guo-Cheng Lan; Tzung-Pei Hong; Vincent S. Tseng (ACIIDS (2), 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 (BIBM Workshops, 2010)

A SPEA2-based genetic-fuzzy mining algorithm. - Chun-Hao Chen; Tzung-Pei Hong; Vincent S. Tseng (FUZZ-IEEE, 2010)

Mining user similarity from semantic trajectories. - Josh Jia-Ching Ying; Eric Hsueh-Chan Lu; Wang-Chien Lee; Tz-Chiao Weng; Vincent S. Tseng (GIS-LBSN, 2010)

Genetic-Fuzzy Data Mining Techniques. - Tzung-Pei Hong; Chun-Hao Chen; Vincent S. Tseng (GrC, 2010)

A Summary of Genetic-Fuzzy Data Mining Techniques. - Tzung-Pei Hong; Chun-Hao Chen; Vincent S. Tseng (GrC, 2010)

Automatic Chinese Text Classification Using N-Gram Model. - Show-Jane Yen; Yue-Shi Lee; Yu-Chieh Wu; Jia-Ching Ying; Vincent S. Tseng (ICCSA (3), 2010)

PTCR-Miner: Progressive Temporal Class Rule Mining for Multivariate Temporal Data Classification. - Chao-Hui Lee; Vincent S. Tseng (ICDM Workshops, 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 (ICME, 2010)

UP-Growth: an efficient algorithm for high utility itemset mining. - Vincent S. Tseng; Cheng-Wei Wu; Bai-En Shie; Philip S. Yu (KDD, 2010)

Online mining of temporal maximal utility itemsets from data streams. - Bai-En Shie; Vincent S. Tseng; Philip S. Yu (SAC, 2010)

A novel music recommender by discovering preferable perceptual-patterns from music pieces. - Ja-Hwung Su; Hsin-Ho Yeh; Vincent S. Tseng (SAC, 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 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)

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)

Music Recommendation Using Content and Context Information Mining. - Ja-Hwung Su; Hsin-Ho Yeh; Philip S. Yu; Vincent S. Tseng (IEEE Intell. Syst., 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)

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)

Mining Top-K Sequential Rules. - Philippe Fournier-Viger; Vincent S. Tseng (ADMA (2), 2011)

Mining High Utility Mobile Sequential Patterns in Mobile Commerce Environments. - Bai-En Shie; Hui-Fang Hsiao; Vincent S. Tseng; Philip S. Yu (DASFAA (1), 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 (FUZZ-IEEE, 2011)

Semantic trajectory mining for location prediction. - Josh Jia-Ching Ying; Wang-Chien Lee; Tz-Chiao Weng; Vincent S. Tseng (GIS, 2011)

User association analysis of locales on location based social networks. - Josh Jia-Ching Ying; Wang-Chien Lee; Mao Ye 002; Ching-Yu Chen; Vincent S. Tseng (GIS-LBSN, 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 (ICDM, 2011)

Photosense: Make sense of your photos with enriched harmonic music via emotion association. - Ja-Hwung Su; Ming-Hua Hsieh; Tao Mei 001; Vincent S. Tseng (ICME, 2011)

Prediction of Essential Genes by Mining Gene Ontology Semantics. - Yu-Cheng Liu; Po-I Chiu; Hsuan-Cheng Huang; Vincent S. Tseng (ISBRA, 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 (KES (2), 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 (Mobile Data Management (1), 2011)

Trip-Mine: An Efficient Trip Planning Approach with Travel Time Constraints. - Eric Hsueh-Chan Lu; Chih-Yuan Lin; Vincent S. Tseng (Mobile Data Management (1), 2011)

Discovering Valuable User Behavior Patterns in Mobile Commerce Environments. - Bai-En Shie; Hui-Fang Hsiao; Philip S. Yu; Vincent S. Tseng (PAKDD Workshops, 2011)

RuleGrowth: mining sequential rules common to several sequences by pattern-growth. - Philippe Fournier-Viger; Roger Nkambou; Vincent Shin-Mu Tseng (SAC, 2011)

Discovering relational-based association rules with multiple minimum supports on microarray datasets. - Yu-Cheng Liu; Chun-Pei Cheng; Vincent S. Tseng (Bioinform., 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)

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)

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)

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)

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)

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)

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)

Genetic-fuzzy mining with multiple minimum supports based on fuzzy clustering. - Chun-Hao Chen; Tzung-Pei Hong; Vincent S. Tseng (Soft Comput., 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)

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)

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)

Using Partially-Ordered Sequential Rules to Generate More Accurate Sequence Prediction. - Philippe Fournier-Viger; Ted Gueniche; Vincent S. Tseng (ADMA, 2012)

Mining Top-K Association Rules. - Philippe Fournier-Viger; Cheng-Wei Wu; Vincent S. Tseng (Canadian AI, 2012)

Mining Sequential Rules Common to Several Sequences with the Window Size Constraint. - Philippe Fournier-Viger; Cheng-Wei Wu; Vincent S. Tseng; Roger Nkambou (Canadian AI, 2012)

CTGR-Span: Efficient mining of cross-timepoint gene regulation sequential patterns from microarray datasets. - Chun-Pei Cheng; Yi-Lin Tsai; Vincent S. Tseng (BIBM, 2012)

Personalized trip recommendation with multiple constraints by mining user check-in behaviors. - Eric Hsueh-Chan Lu; Ching-Yu Chen; Vincent S. Tseng (SIGSPATIAL/GIS, 2012)

An improved approach for sequential utility pattern mining. - Guo-Cheng Lan; Tzung-Pei Hong; Vincent S. Tseng; Shyue-Liang Wang (GrC, 2012)

Efficient pattern-based conceptual image retrieval. - Ja-Hwung Su; Chun-Yi Kuo; Vincent S. Tseng (GrC, 2012)

Mining web navigation patterns with dynamic thresholds for navigation prediction. - Jia-Ching Ying; Chu-Yu Chin; Vincent S. Tseng (GrC, 2012)

Followee recommendation in asymmetrical location-based social networks. - Josh Jia-Ching Ying; Eric Hsueh-Chan Lu; Vincent S. Tseng (UbiComp, 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 (IEA/AIE, 2012)

Mining Top-K Non-redundant Association Rules. - Philippe Fournier-Viger; Vincent S. Tseng (ISMIS, 2012)

Mining top-K high utility itemsets. - Cheng-Wei Wu; Bai-En Shie; Vincent S. Tseng; Philip S. Yu (KDD, 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 (UrbComp@KDD, 2012)

TAAI 2012 Preface. - Yau-Hwang Kuo; Vincent Shin-Mu Tseng; Hung-Yu Kao; Tzung-Pei Hong; Mong-Fong Horng (TAAI, 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 (TAAI, 2012)

A Novel Methodology for Stock Investment Using Episode Mining and Technical Indicators. - Yu-Feng Lin; Chien-Feng Huang; Vincent S. Tseng (TAAI, 2012)

Effective Music Retrieval by Sequential Pattern-Based Alignment. - Ja-Hwung Su; Shao-Yu Fu; Vincent S. Tseng (TAAI, 2012)

A Mobile Framework for Personalized Diabetes Telecare. - I-Hen Tsai; Yu-Feng Lin; Yi-Ching Yang; Vincent S. Tseng (TAAI, 2012)

Fuzzy data mining for time-series data. - Chun-Hao Chen; Tzung-Pei Hong; Vincent S. Tseng (Appl. Soft Comput., 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)

Finding Pareto-front Membership Functions in Fuzzy Data Mining. - Chun-Hao Chen; Tzung-Pei Hong; Vincent S. Tseng (Int. J. Comput. Intell. Syst., 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)

Editorial for the special issue of service computing and service oriented enterprise systems in design, manufacturing and supply chain. - Ying Liu 004; Rossi Setchi; Vincent S. Tseng; Feng Chun Wang (J. Intell. Manuf., 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)

Societally connected multimedia across cultures. - Zhongfei Zhang; Zhengyou Zhang; Ramesh C. Jain; Yueting Zhuang; Noshir S. Contractor; Alexander G. Hauptmann; Alejandro Jaimes; Wanqing Li 001; Alexander C. Loui; Tao Mei 001; Nicu Sebe; Yonghong Tian 001; et al. (J. Zhejiang Univ. Sci. C, 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)

Mining Maximal Sequential Patterns without Candidate Maintenance. - Philippe Fournier-Viger; Cheng-Wei Wu; Vincent S. Tseng (ADMA (1), 2013)

Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction. - Ted Gueniche; Philippe Fournier-Viger; Vincent S. Tseng (ADMA (2), 2013)

Empirical analysis of multi-labeling algorithms for music emotion annotation. - Ja-Hwung Su; Yi-Cheng Tsai; Vincent S. Tseng (ICME Workshops, 2013)

Mining high utility episodes in complex event sequences. - Cheng-Wei Wu; Yu-Feng Lin; Philip S. Yu; Vincent S. Tseng (KDD, 2013)

Personalized Music Recommendation by Mining Social Media Tags. - Ja-Hwung Su; Wei-Yi Chang; Vincent S. Tseng (KES, 2013)

Efficient Approaches for Multi-requests Route Planning in Urban Areas. - Eric Hsueh-Chan Lu; Huan-Sheng Chen; Vincent S. Tseng (MDM (1), 2013)

TNS: mining top-k non-redundant sequential rules. - Philippe Fournier-Viger; Vincent S. Tseng (SAC, 2013)

TripCloud: An Intelligent Cloud-Based Trip Recommendation System. - Josh Jia-Ching Ying; Eric Hsueh-Chan Lu; Bo-Nian Shi; Vincent S. Tseng (SSTD, 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 (TAAI, 2013)

Mining interesting user behavior patterns in mobile commerce environments. - Bai-En Shie; Philip S. Yu; Vincent S. Tseng (Appl. Intell., 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 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)

A hybrid scheme for energy-efficient object tracking in sensor networks. - Ming-Hua Hsieh; Kawuu Weicheng Lin; 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)

Preference-oriented mining techniques for location-based store search. - Jess Soo-Fong Tan; Eric Hsueh-Chan Lu; Vincent S. Tseng (Knowl. Inf. Syst., 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)

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)

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)

Novel Concise Representations of High Utility Itemsets Using Generator Patterns. - Philippe Fournier-Viger; Cheng-Wei Wu; Vincent S. Tseng (ADMA, 2014)

VMSP: Efficient Vertical Mining of Maximal Sequential Patterns. - Philippe Fournier-Viger; Cheng-Wei Wu; Antonio Gomariz; Vincent S. Tseng (Canadian AI, 2014)

Location semantics prediction for living analytics by mining smartphone data. - Chi-Min Huang; Josh Jia-Ching Ying; Vincent S. Tseng; Zhi-Hua Zhou (DSAA, 2014)

Efficient vertical mining of high utility quantitative itemsets. - Chia Hua Li; Cheng-Wei Wu; Vincent S. Tseng (GrC, 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 (GrC, 2014)

ERMiner: Sequential Rule Mining Using Equivalence Classes. - Philippe Fournier-Viger; Ted Gueniche; Souleymane Zida; Vincent S. Tseng (IDA, 2014)

Efficient Mining of Frequent Target Episodes from Complex Event Sequences. - Yu-Feng Lin; Pei-Wen Jiang; Vincent S. Tseng (ICS, 2014)

FHM: Faster High-Utility Itemset Mining Using Estimated Utility Co-occurrence Pruning. - Philippe Fournier-Viger; Cheng-Wei Wu; Souleymane Zida; Vincent S. Tseng (ISMIS, 2014)

WBPL: An Open-Source Library for Predicting Web Surfing Behaviors. - Ted Gueniche; Philippe Fournier-Viger; Roger Nkambou; Vincent S. Tseng (ISMIS, 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 (MDM (1), 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 (TAAI, 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)

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)

On-shelf utility mining with negative item values. - Guo-Cheng Lan; Tzung-Pei Hong; Jen-Peng Huang; Vincent S. Tseng (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)

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)

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)

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)

A Novel Episode Mining Methodology for Stock Investment. - Yu-Feng Lin; Chien-Feng Huang; Vincent S. Tseng (J. Inf. Sci. Eng., 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)

An efficient projection-based indexing approach for mining high utility itemsets. - Guo-Cheng Lan; Tzung-Pei Hong; Vincent S. Tseng (Knowl. Inf. Syst., 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)

Mining Potential High-Utility Itemsets over Uncertain Databases. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong; Vincent S. Tseng (ASE BD&SI, 2015)

Transfer Learning on High Variety Domains for Activity Recognition. - Josh Jia-Ching Ying; Bo-Hau Lin; Vincent S. Tseng; Sun-Yuan Hsieh (ASE BD&SI, 2015)

Mining High Utility Sequential Patterns from Evolving Data Streams. - Morteza Zihayat; Cheng-Wei Wu; Aijun An; Vincent S. Tseng (ASE BD&SI, 2015)

Mining high-utility itemsets with various discount strategies. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong; Vincent S. Tseng (DSAA, 2015)

UP-Miner: A Utility Pattern Mining Toolbox. - Vincent S. Tseng; Cheng-Wei Wu; Jun-Han Lin; Philippe Fournier-Viger (ICDM Workshops, 2015)

Hewin: High expected weighted itemset mining in uncertain databases. - Jerry Chun-Wei Lin; Wensheng Gan; Tzung-Pei Hong; Vincent S. Tseng (ICMLC, 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 (IScIDE (2), 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 (KDD, 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 (MICAI (1), 2015)

Efficient Mining of High-Utility Sequential Rules. - Souleymane Zida; Philippe Fournier-Viger; Cheng-Wei Wu; Jerry Chun-Wei Lin; Vincent S. Tseng (MLDM, 2015)

CPT+: Decreasing the Time/Space Complexity of the Compact Prediction Tree. - Ted Gueniche; Philippe Fournier-Viger; Rajeev Raman; Vincent S. Tseng (PAKDD (2), 2015)

Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes. - Yu-Feng Lin; Hsuan-Hsu Chen; Vincent S. Tseng; Jian Pei 001 (PAKDD (1), 2015)

Mining High Utility Itemsets in Big Data. - Ying Chun Lin; Cheng-Wei Wu; Vincent S. Tseng (PAKDD (2), 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 (TAAI, 2015)

Mining closed+ high utility itemsets without candidate generation. - Cheng-Wei Wu; Philippe Fournier-Viger; Jia-Yuan Gu; Vincent S. Tseng (TAAI, 2015)

An Intelligent Recommender System Based on Short-Term Risk Prediction for Heart Disease Patients. - Raid Lafta; Ji Zhang 001; Xiaohui Tao 001; Yan Li 002; Vincent S. Tseng (WI-IAT (3), 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)

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)

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)

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)

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)

Intelligent interaction, reasoning, and applications. - Chao-Lin Liu; Mitsunori Matsushita; Yasufumi Takama; Min-Yuh Day; Vincent Shin-Mu Tseng (Web Intell., 2015)

IRS-HD: An Intelligent Personalized Recommender System for Heart Disease Patients in a Tele-Health Environment. - Raid Lafta; Ji Zhang 001; Xiaohui Tao 001; Yan Li 002; Vincent S. Tseng (ADMA, 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 (BHI, 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 (CEC, 2016)

Mining Minimal High-Utility Itemsets. - Philippe Fournier-Viger; Jerry Chun-Wei Lin; Cheng-Wei Wu; Vincent S. Tseng; Usef Faghihi (DEXA (1), 2016)

PFrauDetector: A Parallelized Graph Mining Approach for Efficient Fraudulent Phone Call Detection. - Josh Jia-Ching Ying; Ji Zhang 001; Che-Wei Huang; Kuan-Ta Chen; Vincent S. Tseng (ICPADS, 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 (MLDM, 2016)

Efficient closed high-utility itemset mining. - Philippe Fournier-Viger; Souleymane Zida; Jerry Chun-Wei Lin; Cheng-Wei Wu; Vincent S. Tseng (SAC, 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 (WAIM (1), 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)

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)

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)

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)

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)

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)

An intelligent recommender system based on predictive analysis in telehealthcare environment. - Raid Lafta; Ji Zhang 001; Xiaohui Tao 001; Yan Li 002; Vincent S. Tseng; Yonglong Luo; Fulong Chen 002 (Web Intell., 2016)

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 (ADMA, 2017)

Efficient big image data retrieval using clustering index and parallel computation. - Ja-Hwung Su; Chu-Yu Chin; Jyun-Yu Li; Vincent S. Tseng (iCAST, 2017)

Efficient Multi-Destinations Route Planning with Deadlines and Cost Constraints. - Yu Huang 018; Bo-Hau Lin; Vincent S. Tseng (MDM, 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 (PAKDD (1), 2017)

A Fast Fourier Transform-Coupled Machine Learning-Based Ensemble Model for Disease Risk Prediction Using a Real-Life Dataset. - Raid Lafta; Ji Zhang 001; Xiaohui Tao 001; Yan Li 002; Wessam Abbas; Yonglong Luo; Fulong Chen 002; Vincent S. Tseng (PAKDD (1), 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 (PAKDD (Workshops), 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 (TAAI, 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 (TAAI, 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)

Effective social content-based collaborative filtering for music recommendation. - Ja-Hwung Su; Wei-Yi Chang; Vincent S. Tseng (Intell. Data Anal., 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)

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 uncertain high-utility itemsets. - Jerry Chun-Wei Lin; Wensheng Gan; Philippe Fournier-Viger; Tzung-Pei Hong; Vincent S. Tseng (Soft Comput., 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)

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)

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 (ACIIDS (1), 2018)

Mining Trending High Utility Itemsets from Temporal Transaction Databases. - Acquah Hackman; Yu Huang 018; Vincent S. Tseng (DEXA (2), 2018)

Multivariate Time Series Early Classification Using Multi-Domain Deep Neural Network. - Huai-Shuo Huang; Chien-Liang Liu; Vincent S. Tseng (DSAA, 2018)

Deep Discriminative Features Learning and Sampling for Imbalanced Data Problem. - Yi-Hsun Liu; Chien-Liang Liu; Shin-Mu Tseng (ICDM, 2018)

Effective Risk Assessment of Type 2 Diabetes Using Diagnostic Information Retrieval. - Chu-Yu Chin; Sun-Yuan Hsieh; Vincent S. Tseng (SCIS&ISIS, 2018)

Emerging Product Topics Prediction in Social Media without Social Structure Information. - Sinya Peng; Vincent S. Tseng; Che-Wei Liang; Man-Kwan Shan (WWW (Companion Volume), 2018)

FrauDetector+: An Incremental Graph-Mining Approach for Efficient Fraudulent Phone Call Detection. - Josh Jia-Ching Ying; Ji Zhang 001; Che-Wei Huang; Kuan-Ta Chen; Vincent S. Tseng (ACM Trans. Knowl. Discov. Data, 2018)

Mining Emerging High Utility Itemsets over Streaming Database. - Acquah Hackman; Yu Huang 018; Philip S. Yu; Vincent S. Tseng (ADMA, 2019)

DeepIdentifier: A Deep Learning-Based Lightweight Approach for User Identity Recognition. - Meng-Chieh Lee; Yu Huang 018; Josh Jia-Ching Ying; Chien Chen; Vincent S. Tseng (ADMA, 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 (BHI, 2019)

Robust Sensor-based Human Activity Recognition with Snippet Consensus Neural Networks. - Yu Huang 018; Meng-Chieh Lee; Vincent S. Tseng; Ching-Jui Hsiao; Chi-Chiang Huang (BSN, 2019)

An Efficient Algorithm for Mining High Utility Quantitative Itemsets. - Chia Hua Li; Cheng-Wei Wu; JianTao Huang; Vincent S. Tseng (ICDM Workshops, 2019)

Long-Term Traffic Time Prediction Using Deep Learning with Integration of Weather Effect. - Chih-Hsin Chou; Yu Huang 018; Chian-Yun Huang; Vincent S. Tseng (PAKDD (2), 2019)

Multivariate Time Series Early Classification with Interpretability Using Deep Learning and Attention Mechanism. - En-Yu Hsu; Chien-Liang Liu; Vincent S. Tseng (PAKDD (3), 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 (PAKDD (2), 2019)

Epileptic Seizure Prediction With Multi-View Convolutional Neural Networks. - Chien-Liang Liu; Bin Xiao 008; Wen-Hoar Hsaio; Vincent S. Tseng (IEEE Access, 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)

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)

Discovering negative comments by sentiment analysis on web forum. - Wei-Yun Hsu; Hui-Huang Hsu; Vincent S. Tseng (World Wide Web, 2019)

PURL: Periodic User Representation Learning from Temporal Event Records for Personalized Health Management. - Yu Huang 018; Chih-Ling Hsu; Vincent S. Tseng (BigComp, 2020)

AutoAudit: Mining Accounting and Time-Evolving Graphs. - Meng-Chieh Lee; Yue Zhao 016; Aluna Wang; Pierre Jinghong Liang; Leman Akoglu; Vincent S. Tseng; Christos Faloutsos (IEEE BigData, 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 (ICS, 2020)

Predicting Ventricular Fibrillation Through Deep Learning. - Li-Ming Tseng; Vincent S. Tseng (IEEE Access, 2020)

[Guest Editorial]. - Vincent S. Tseng; Stephen T. C. Wong; Diane J. Cook; Jiming Liu 001 (IEEE Comput. Intell. Mag., 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 001 (IEEE Comput. Intell. Mag., 2020)

Efficient methods for mining weighted clickstream patterns. - Huy Minh Huynh; Loan T. T. Nguyen; Bay Vo; Anh Nguyen 006; Vincent S. Tseng (Expert Syst. Appl., 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)

GAWD: graph anomaly detection in weighted directed graph databases. - Meng-Chieh Lee; Hung T. Nguyen 003; Dimitris Berberidis; Vincent S. Tseng; Leman Akoglu (ASONAM, 2021)

Stable High Utility Itemset Mining. - Acquah Hackman; Yu Huang 018; Philippe Fournier-Viger; Vincent S. Tseng (iiWAS, 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)

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)

Editor's Note. - Jerry Chun-Wei Lin; Gautam Srivastava 001; Vincent S. Tseng (Int. J. Interact. Multim. Artif. Intell., 2021)

Spatio-attention embedded recurrent neural network for air quality prediction. - Yu Huang 018; Josh Jia-Ching Ying; Vincent S. Tseng (Knowl. Based Syst., 2021)

Guest Editorial: Artificial Intelligence for Securing Industrial-Based Cyber-Physical Systems. - Gautam Srivastava 001; Jerry Chun-Wei Lin; Xuyun Zhang; Vincent S. Tseng (IEEE Trans. Ind. Informatics, 2021)

Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints. - Yu Huang 018; Josh Jia-Ching Ying; Philip S. Yu; Vincent S. Tseng (ACM Trans. Knowl. Discov. Data, 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)

Contrastive Heartbeats: Contrastive Learning for Self-Supervised ECG Representation and Phenotyping. - Crystal T. Wei; Ming-En Hsieh; Chien-Liang Liu; Vincent S. Tseng (ICASSP, 2022)

IPreMom: a continual learning-based image rating framework for infant precious moments capturing. - Yu Huang 018; Ju-Hui Tseng; Ching-Jui Hsiao; Hui-Mei Hung; Vincent S. Tseng (SAC, 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)

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)

Hierarchy-aware contrastive learning with late fusion for skin lesion classification. - Benny Wei-Yun Hsu; Vincent S. Tseng (Comput. Methods Programs Biomed., 2022)

Periodic Attention-based Stacked Sequence to Sequence framework for long-term travel time prediction. - Yu Huang 018; Hao Dai; Vincent S. Tseng (Knowl. Based Syst., 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)

A Novel Constraint-Based Knee- Guided Neuroevolutionary Algorithm for Context-Specific ECG Early Classification. - Yu Huang 018; Gary G. Yen; Vincent S. Tseng (IEEE J. Biomed. Health Informatics, 2022)

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)

Multi-view knowledge distillation transformer for human action recognition. - Ying-Chen Lin; Vincent S. Tseng (CoRR, 2023)

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. - Ming Jin 005; Qingsong Wen; Yuxuan Liang; Chaoli Zhang 001; Siqiao Xue; Xue Wang 010; James Zhang; Yi Wang 022; Haifeng Chen; Xiaoli Li 001; Shirui Pan; Vincent S. Tseng; et al. (CoRR, 2023)

Continual learning with attentive recurrent neural networks for temporal data classification. - Shao-Yu Yin; Yu Huang 018; Tien-Yu Chang; Shih-Fang Chang; Vincent S. Tseng (Neural Networks, 2023)

Snippet Policy Network for Multi-Class Varied-Length ECG Early Classification. - Yu Huang 018; Gary G. Yen; Vincent S. Tseng (IEEE Trans. Knowl. Data Eng., 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, 2023)

An MDL-Based Genetic Algorithm for Genome Sequence Compression. - Muhammad Zohaib Nawaz; M. Saqib Nawaz; Philippe Fournier-Viger; Vincent S. Tseng (BIBM, 2024)

Self-Supervised Pulse-Aware Interpretable Disentangled ECG Representation Learning. - Chun-Ti Chou; Vincent S. Tseng (ICASSP, 2024)

Privacy-Preserving Attention-Weighted Multi-Source Domain Adaptation for EEG Motor Imagery. - Yu-Mei Huang; Hui-Nien Hung; Vincent S. Tseng (ICASSP, 2024)

DAT: Dual-Aspect Transformer for Travel Time Prediction. - Hui-Ting Lin; Hao Dai; Vincent S. Tseng (ICCE-Taiwan, 2024)

Periodic Stacked Transformer-based Framework for Travel Time Prediction. - Hui-Ting Lin; Hao Dai; Vincent S. Tseng (IJCNN, 2024)

Learning Location Semantics and Dynamics for Traffic Origin-Destination Demand Prediction. - Kuan-Hsuan Yung; Josh Jia-Ching Ying; Hui-Ting Lin; Vincent S. Tseng (IJCNN, 2024)

A Deep Learning for Predicting Possibility of Bluetooth Low Energy Tag Signals. - Hao-Pei Teng; Vincent S. Tseng; Josh Jia-Ching Ying (ICS, 2024)

Federated Contrastive Domain Adaptation for Category-inconsistent Object Detection. - Wei-Yu Chen; Peggy Joy Lu; Vincent Shin-Mu Tseng (VCIP, 2024)

Automatic 3D left atrial strain extraction framework on cardiac computed tomography. - Ling Chen 004; Sung-Hao Huang; Tzu-Hsiang Wang; Vincent S. Tseng; Hsuan-Ming Tsao; Gau-Jun Tang (Comput. Methods Programs Biomed., 2024)

CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series. - Tien-Yu Chang; Hao Dai; Vincent S. Tseng (CoRR, 2024)

DL-KDD: Dual-Light Knowledge Distillation for Action Recognition in the Dark. - Chi-Jui Chang; Oscar Tai-Yuan Chen; Vincent S. Tseng (CoRR, 2024)

Predicting Fine-grained Behavioral and Psychological Symptoms of Dementia Based on Machine Learning and Smart Wearable Devices. - Benny Wei-Yun Hsu; Yu-Ming Chen; Yuan-Han Yang; Vincent S. Tseng (CoRR, 2024)

Snippet Policy Network V2: Knee-Guided Neuroevolution for Multi-Lead ECG Early Classification. - Yu Huang 018; Gary G. Yen; Vincent S. Tseng (IEEE Trans. Neural Networks Learn. Syst., 2024)

LightDPH: Lightweight Dual-Projection-Head Hierarchical Contrastive Learning for Skin Lesion Classification. - Benny Wei-Yun Hsu; Vincent S. Tseng (J. Heal. Informatics Res., 2024)

DiPPSI: Diffusion-Based Pulsative Physiological Signal Imputation. - Su-Jung Wu; Josh Jia-Ching Ying; Vincent S. Tseng (PAKDD (1), 2025)

HaGAR: Hardness-aware Generative Adversarial Recommender. - Yuan-Heng Lee; Josh Jia-Ching Ying; Vincent S. Tseng (WSDM, 2025)

AI-assisted anatomical structure recognition and segmentation via mamba-transformer architecture in abdominal ultrasound images. - Shih-Fang Chang; Po-Yi Wu; Ming-Chang Tsai; Vincent S. Tseng; Chi-Chih Wang (Frontiers Artif. Intell., 2025)

Efficient genome sequence compression via the fusion of MDL-based heuristics. - Muhammad Zohaib Nawaz; M. Saqib Nawaz; Philippe Fournier-Viger; Shoaib Nawaz; Jerry Chun-Wei Lin; Vincent S. Tseng (Inf. Fusion, 2025)

Early Time Series Anomaly Prediction With Multi-Objective Optimization. - Ting-En Chao; Yu Huang 018; Hao Dai; Gary G. Yen; Vincent S. Tseng (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Forecasting leading economic indicators in the US from financial news using multi-task learning. - Josh Jia-Ching Ying; Chia-Chen Liu; Vincent S. Tseng; Wenbin Zhang 002; Ji Zhang 001 (Soft Comput., 2025)

Predicting Longitudinal Visual Field Progression With Class Imbalanced Data. - Ling Chen 004; Chun-Hung Chen; Wei Wang; Da-Wen Lu; Vincent S. Tseng (IEEE J. Biomed. Health Informatics, 2025)

HiTrace: Hierarchical Class Tracing Approach for Open-Set Recognition on Skin Lesions. - Benny Wei-Yun Hsu; Vincent S. Tseng (IEEE J. Biomed. Health Informatics, 2025)