Philippe Fournier-Viger

Jiaqi Chen

Jiaxing Shen

Frontiers Comput. Sci., October, 2024

Special Issue Editorial on "The Innovative Use of Data Science to Transform How We Work and Live".

[BibT_eX]

[DOI]

Yee Ling Boo

Manik Gupta

Weijia Zhang

Data Sci. Eng., March, 2024

Targeted mining of contiguous sequential patterns.

[BibT_eX]

[DOI]

Inf. Sci., January, 2024

Discovering frequent parallel episodes in complex event sequences by counting distinct occurrences.

[BibT_eX]

[DOI]

Oualid Ouarem

Appl. Intell., January, 2024

A survey of episode mining.

[BibT_eX]

[DOI]

Oualid Ouarem

WIREs Data. Mining. Knowl. Discov., 2024

Symmetric Self-Paced Learning for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A novel observation points-based positive-unlabeled learning algorithm.

[BibT_eX]

[DOI]

Xu Li

Manjing Zhang

Salman Salloum

CAAI Trans. Intell. Technol., December, 2023

OPR-Miner: Order-Preserving Rule Mining for Time Series.

[BibT_eX]

[DOI]

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

Targeted mining of top-k high utility itemsets.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., November, 2023

Mining High Utility Itemsets Using Prefix Trees and Utility Vectors.

[BibT_eX]

[DOI]

Jun-Feng Qu

Mengchi Liu

Bo Hang

Chunyang Hu

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

Using alignment-free and pattern mining methods for SARS-CoV-2 genome analysis.

[BibT_eX]

[DOI]

Appl. Intell., October, 2023

Correction to: AM-ConvGRU: a spatio-temporal model for typhoon path prediction.

[BibT_eX]

[DOI]

Guangning Xu

Di Xian

Xutao Li

Yunming Ye

Xiuqing Hu

Neural Comput. Appl., June, 2023

Observation points classifier ensemble for high-dimensional imbalanced classification.

[BibT_eX]

[DOI]

Xu Li

Mianjie Li

Salman Salloum

CAAI Trans. Intell. Technol., June, 2023

A novel correlation Gaussian process regression-based extreme learning machine.

[BibT_eX]

[DOI]

Manjing Zhang

Knowl. Inf. Syst., May, 2023

Efficient mining of top-<i>k</i> high utility itemsets through genetic algorithms.

[BibT_eX]

[DOI]

Rage Uday Kiran

Sebastián Ventura

Inf. Sci., May, 2023

PSAC-PDB: Analysis and classification of protein structures.

[BibT_eX]

[DOI]

Qin Zhang

Comput. Biol. Medicine, May, 2023

Hiding sensitive frequent itemsets by item removal via two-level multi-objective optimization.

[BibT_eX]

[DOI]

Mira Lefkir

Appl. Intell., May, 2023

Incremental tree-based successive POI recommendation in location-based social networks.

[BibT_eX]

[DOI]

Mohammed Lamine Kherfi

Younes Guellouma

Appl. Intell., April, 2023

Federated deep active learning for attention-based transaction classification.

[BibT_eX]

[DOI]

Usman Ahmed

Appl. Intell., April, 2023

A Hybrid Method to Measure Distribution Consistency of Mixed-Attribute Datasets.

[BibT_eX]

[DOI]

De-Fa Huang

IEEE Trans. Artif. Intell., February, 2023

Wireless Network Slice Assignment With Incremental Random Vector Functional Link Network.

[BibT_eX]

[DOI]

Laizhong Cui

Chengwen Luo

Ponnuthurai Nagaratnam Suganthan

IEEE Trans. Netw. Sci. Eng., 2023

Repetitive nonoverlapping sequential pattern mining.

[BibT_eX]

[DOI]

Xingquan Zhu

CoRR, 2023

Top-k contrast order-preserving pattern mining for time series classification.

[BibT_eX]

[DOI]

CoRR, 2023

G<sup>2</sup>xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns.

[BibT_eX]

[DOI]

Shirui Pan

CoRR, 2023

Mining compact high utility sequential patterns.

[BibT_eX]

[DOI]

Tai Dinh

Nathalie Vallès-Parlangeau

Huynh Van Hong

CoRR, 2023

Mining Frequent Sequential Subgraph Evolutions in Dynamic Attributed Graphs.

[BibT_eX]

[DOI]

Zhi Cheng

Landy Andriamampianina

Franck Ravat

Jiefu Song

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Heuristic approaches for hiding sensitive frequent itemsets in uncertain databases.

[BibT_eX]

[DOI]

Mira Lefkir

Proceedings of the 5th International Conference on Pattern Analysis and Intelligent Systems, 2023

G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns.

[BibT_eX]

[DOI]

Shirui Pan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Image-text Retrieval via Preserving Main Semantics of Vision.

[BibT_eX]

[DOI]

Xu Zhang

Xudong Dai

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Multi-modal Chinese Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Discovering Fuzzy Partial Periodic Patterns in Quantitative Irregular Multiple Time Series.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Co-location Pattern Mining Under the Spatial Structure Constraint.

[BibT_eX]

[DOI]

Rodrigue Govan

Aristotelis Giannakos

Proceedings of the Database and Expert Systems Applications, 2023

Extraction de co-localisations sous contrainte de la structure spatiale.

[BibT_eX]

[DOI]

Rodrigue Govan

Aristotelis Giannakos

Proceedings of the Conférence Nationale en Intelligence Artificielle, 2023

2022

Mining High Utility Itemsets with Hill Climbing and Simulated Annealing.

[BibT_eX]

[DOI]

ACM Trans. Manag. Inf. Syst., 2022

NTP-Miner: Nonoverlapping Three-Way Sequential Pattern Mining.

[BibT_eX]

[DOI]

Xingquan Zhu

ACM Trans. Knowl. Discov. Data, 2022

Bayesian Attribute Bagging-Based Extreme Learning Machine for High-Dimensional Classification and Regression.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2022

AM-ConvGRU: a spatio-temporal model for typhoon path prediction.

[BibT_eX]

[DOI]

Guangning Xu

Di Xian

Xutao Li

Yunming Ye

Xiuqing Hu

Neural Comput. Appl., 2022

UBP-Miner: An efficient bit based high utility itemset mining algorithm.

[BibT_eX]

[DOI]

Peng Wu

Cheng Huang

Knowl. Based Syst., 2022

Mining frequent weighted utility itemsets in hierarchical quantitative databases.

[BibT_eX]

[DOI]

Ham Nguyen

Tuong Le

Minh Nguyen

Knowl. Based Syst., 2022

Efficient algorithms for mining closed and maximal high utility itemsets.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Fuzzy-driven periodic frequent pattern mining.

[BibT_eX]

[DOI]

Inf. Sci., 2022

NWP-Miner: Nonoverlapping weak-gap sequential pattern mining.

[BibT_eX]

[DOI]

Inf. Sci., 2022

A graph based approach for mining significant places in trajectory data.

[BibT_eX]

[DOI]

Shimin Wang

Dongmei Zhou

Fan Min

Inf. Sci., 2022

Efficient mining of cross-level high-utility itemsets in taxonomy quantitative databases.

[BibT_eX]

[DOI]

N. T. Tung

Trinh D. D. Nguyen

Ngoc Thanh Nguyen

Inf. Sci., 2022

CSPM: Discovering compressing stars in attributed graphs.

[BibT_eX]

[DOI]

Jiahong Liu

Min Zhou

Ganghuan He

Inf. Sci., 2022

H-FHAUI: Hiding frequent high average utility itemsets.

[BibT_eX]

[DOI]

Inf. Sci., 2022

An efficient parallel algorithm for mining weighted clickstream patterns.

[BibT_eX]

[DOI]

Huy Minh Huynh

Zuzana Komínková Oplatková

Inf. Sci., 2022

A novel dependency-oriented mixed-attribute data classification method.

[BibT_eX]

[DOI]

Yu-Lin He

Guiliang Ou

Ponnuthurai Nagaratnam Suganthan

Expert Syst. Appl., 2022

Towards Target High-Utility Itemsets.

[BibT_eX]

[DOI]

CoRR, 2022

Enhancing Hyperbolic Graph Embeddings via Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2022

MalSPM: Metamorphic malware behavior analysis and classification using sequential pattern mining.

[BibT_eX]

[DOI]

Guoting Chen

Comput. Secur., 2022

Self-adaptive nonoverlapping sequential pattern mining.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Mining interesting sequences with low average cost and high average utility.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Frequent high minimum average utility sequence mining with constraints in dynamic databases using efficient pruning strategies.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Mining sequential patterns with flexible constraints from MOOC data.

[BibT_eX]

[DOI]

Wei Ye

Appl. Intell., 2022

Parallel grid-based density peak clustering of big trajectory data.

[BibT_eX]

[DOI]

Yunhong Zheng

Appl. Intell., 2022

Efficient evolutionary computation model of closed high-utility itemset mining.

[BibT_eX]

[DOI]

Gautam Srivastava

Appl. Intell., 2022

Editorial of special issue on emerging topics in applied intelligence.

[BibT_eX]

[DOI]

Moonis Ali

Appl. Intell., 2022

TSPIN: mining top-k stable periodic patterns.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Reasoning About Order Crossover in Genetic Algorithms.

[BibT_eX]

[DOI]

Saleha Noor

Proceedings of the Advances in Swarm Intelligence - 13th International Conference, 2022

Metaheuristic Algorithms for Proof Searching in HOL4.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

LCIM: Mining Low Cost High Utility Itemsets.

[BibT_eX]

[DOI]

Naji Alhusaini

Debdatta Bhattacharya

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2022

MaxFEM: Mining Maximal Frequent Episodes in Complex Event Sequences.

[BibT_eX]

[DOI]

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2022

Measuring Drift Severity by Tree Structure Classifiers.

[BibT_eX]

[DOI]

Di Zhao

Proceedings of the International Joint Conference on Neural Networks, 2022

Auto-Encoding Independent Attribute Transformation for Naive Bayesian Classifier.

[BibT_eX]

[DOI]

Guiliang Ou

Proceedings of the International Joint Conference on Neural Networks, 2022

Two-Stage Traffic Clustering Based on HNSW.

[BibT_eX]

[DOI]

Xu Zhang

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

Parallel High Utility Itemset Mining.

[BibT_eX]

[DOI]

Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

DenMG: Density-Based Member Generation for Ensemble Clustering.

[BibT_eX]

[DOI]

Xueqin Du

Proceedings of the Workshop Proceedings of the 51st International Conference on Parallel Processing, 2022

UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 29th International Conference, 2022

A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Mining High Utility Itemset with Multiple Minimum Utility Thresholds Based on Utility Deviation.

[BibT_eX]

[DOI]

Naji Alhusaini

Jing Li

Ammar Hawbani

Guilin Chen

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Discovering Representative Attribute-stars via Minimum Description Length.

[BibT_eX]

[DOI]

Jiahong Liu

Min Zhou

Menglin Yang

Lujia Pan

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Constraint-based Sequential Rule Mining.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Pattern Mining: Current Challenges and Opportunities.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications. DASFAA 2022 International Workshops, 2022

FastTIRP: Efficient Discovery of Time-Interval Related Patterns.

[BibT_eX]

[DOI]

Yuechun Li

Proceedings of the Big Data Analytics - 10th International Conference, 2022

Hui2Vec: Learning Transaction Embedding Through High Utility Itemsets.

[BibT_eX]

[DOI]

Khaled Belghith

Jassem Jawadi

Proceedings of the Big Data Analytics - 10th International Conference, 2022

S-PDB: Analysis and Classification of SARS-CoV-2 Spike Protein Structures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Beyond Frequency: Utility Mining with Varied Item-specific Minimum Utility.

[BibT_eX]

[DOI]

ACM Trans. Internet Techn., 2021

A Survey of Utility-Oriented Pattern Mining.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Utility Mining Across Multi-Dimensional Sequences.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

Towards Revenue Maximization with Popular and Profitable Products.

[BibT_eX]

[DOI]

Guoting Chen

Hongzhi Yin

Chien-Ming Chen

Trans. Data Sci., 2021

Fast Utility Mining on Sequence Data.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Analysis of public reactions to the novel Coronavirus (COVID-19) outbreak on Twitter.

[BibT_eX]

[DOI]

Saleha Noor

Yi Guo

Syed Hamad Hassan Shah

Kybernetes, 2021

HANP-Miner: High average utility nonoverlapping sequential pattern mining.

[BibT_eX]

[DOI]

Xingquan Zhu

Knowl. Based Syst., 2021

Damped sliding based utility oriented pattern mining over stream data.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Efficient algorithms for mining frequent high utility sequences with constraints.

[BibT_eX]

[DOI]

Inf. Sci., 2021

A guided FP-Growth algorithm for mining multitude-targeted item-sets and class association rules in imbalanced data.

[BibT_eX]

[DOI]

Lior Shabtay

Rami Yaari

Itai Dattner

Inf. Sci., 2021

Mining local periodic patterns in a discrete sequence.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Average utility driven data analytics on damped windows for intelligent systems with data streams.

[BibT_eX]

[DOI]

Witold Pedrycz

Int. J. Intell. Syst., 2021

A new perceptual evaluation method of video quality based on neural network.

[BibT_eX]

[DOI]

Intell. Data Anal., 2021

Hiding sensitive information in eHealth datasets.

[BibT_eX]

[DOI]

Gautam Srivastava

Alireza Jolfaei

Future Gener. Comput. Syst., 2021

Enhancing link prediction in dynamic networks using content aggregation.

[BibT_eX]

[DOI]

Mustapha Bouakkaz

Sabine Loudcher

Clust. Comput., 2021

An evolutionary/heuristic-based proof searching framework for interactive theorem prover.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

A predictive GA-based model for closed high-utility itemset mining.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

FHUQI-Miner: Fast high utility quantitative itemset mining.

[BibT_eX]

[DOI]

Appl. Intell., 2021

Proof searching and prediction in HOL4 with evolutionary/heuristic and deep learning techniques.

[BibT_eX]

[DOI]

Appl. Intell., 2021

Using artificial intelligence techniques for COVID-19 genome analysis.

[BibT_eX]

[DOI]

Abbas Shojaee

Appl. Intell., 2021

Fast Top-K association rule mining using rule generation property pruning.

[BibT_eX]

[DOI]

Xiangyu Liu

Appl. Intell., 2021

Advances in Theory and Applications of Artificial Intelligence.

[BibT_eX]

[DOI]

Jun Sasaki

Moonis Ali

AI Mag., 2021

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

[BibT_eX]

[DOI]

IEEE Access, 2021

Proof Searching in PVS Theorem Prover Using Simulated Annealing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021

Mining Skyline Frequent-Utility Itemsets with Utility Filtering.

[BibT_eX]

[DOI]

Chuanlong Zheng

Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Metamorphic Malware Behavior Analysis Using Sequential Pattern Mining.

[BibT_eX]

[DOI]

Guoting Chen

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Machine Learning for Intelligent Industrial Design.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Mining High Utility Sequences with a Novel Utility Function.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Knowledge and Systems Engineering, 2021

Privacy-Preserving Periodic Frequent Pattern Model in AIoT Applications.

[BibT_eX]

[DOI]

Usman Ahmed

Chien-Fu Cheng

Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems, 2021

CHUQI-Miner: Mining Correlated Quantitative High Utility Itemsets.

[BibT_eX]

[DOI]

Proceedings of the 2021 International Conference on Data Mining, 2021

Sequence Prediction using Partially-Ordered Episode Rules.

[BibT_eX]

[DOI]

Yangming Chen

Proceedings of the 2021 International Conference on Data Mining, 2021

Stable High Utility Itemset Mining.

[BibT_eX]

[DOI]

Acquah Hackman

Yu Huang

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

Mining Episode Rules from Event Sequences Under Non-overlapping Frequency.

[BibT_eX]

[DOI]

Oualid Ouarem

Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

COVID-19 Genome Analysis Using Alignment-Free Methods.

[BibT_eX]

[DOI]

Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

Map-Matching Based on HMM for Urban Traffic.

[BibT_eX]

[DOI]

Dongzi Chen

Wenxin Wu

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

A Transaction Classification Model of Federated Learning.

[BibT_eX]

[DOI]

Usman Ahmed

Gautam Srivastava

Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

HSNP-Miner: High Utility Self-Adaptive Nonoverlapping Pattern Mining.

[BibT_eX]

[DOI]

Md. Motaher Hossain

Zhao Li

Lei Guo

Yan Li

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Mining Partially-Ordered Episode Rules with the Head Support.

[BibT_eX]

[DOI]

Yangming Chen

Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

Discovering Relative High Utility Itemsets in Very Large Transactional Databases Using Null-Invariant Measure.

[BibT_eX]

[DOI]

Pradeep Pallikila

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

TKQ: Top-K Quantitative High Utility Itemset Mining.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

Investigating Crossover Operators in Genetic Algorithms for High-Utility Itemset Mining.

[BibT_eX]

[DOI]

Bernd Noack

Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021

Mining Partially-Ordered Episode Rules in an Event Sequence.

[BibT_eX]

[DOI]

Yangming Chen

Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021

2020

A survey of pattern mining in dynamic graphs.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2020

Utility-Driven Mining of Trend Information for Intelligent System.

[BibT_eX]

[DOI]

Xuan Wang

ACM Trans. Manag. Inf. Syst., 2020

Uncertainty-Based Pattern Mining for Maximizing Profit of Manufacturing Plants With List Structure.

[BibT_eX]

[DOI]

Yoonji Baek

Eunchul Yoon

IEEE Trans. Ind. Electron., 2020

HUOPM: High-Utility Occupancy Pattern Mining.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Mining high utility itemsets using extended chain structure and utility machine.

[BibT_eX]

[DOI]

Jun-Feng Qu

Mengchi Liu

Bo Hang

Feng Wang

Knowl. Based Syst., 2020

Mining cost-effective patterns in event logs.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

High average-utility sequential pattern mining based on uncertain databases.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

NextRoute: a lossless model for accurate mobility prediction.

[BibT_eX]

[DOI]

J. Ambient Intell. Humaniz. Comput., 2020

EHAUSM: An efficient algorithm for high average utility sequence mining.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Mining correlated high-utility itemsets using various measures.

[BibT_eX]

[DOI]

Log. J. IGPL, 2020

Fingerprint classification and identification algorithms for criminal investigation: A survey.

[BibT_eX]

[DOI]

Khin Nandar Win

Jianguo Chen

Keqin Li

Future Gener. Comput. Syst., 2020

One scan based high average-utility pattern mining in static and dynamic databases.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2020

Discovering rare correlated periodic patterns in multiple sequences.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2020

A Multi-Core Approach to Efficiently Mining High-Utility Itemsets in Dynamic Profit Databases.

[BibT_eX]

[DOI]

Trinh D. D. Nguyen

IEEE Access, 2020

Proof Learning in PVS With Utility Pattern Mining.

[BibT_eX]

[DOI]

IEEE Access, 2020

Extracting User-Centric Knowledge on Two Different Spaces: Concepts and Records.

[BibT_eX]

[DOI]

Sebastián Ventura

IEEE Access, 2020

Efficient Chain Structure for High-Utility Sequential Pattern Mining.

[BibT_eX]

[DOI]

Yuanfa Li

IEEE Access, 2020

Mining Productive Itemsets in Dynamic Databases.

[BibT_eX]

[DOI]

Xiang Li

Jiaxuan Li

Jie Yao

IEEE Access, 2020

Proof searching in HOL4 with genetic algorithm.

[BibT_eX]

[DOI]

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Mining Locally Trending High Utility Itemsets.

[BibT_eX]

[DOI]

Yanjun Yang

Jaroslav Frnda

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Distributed Density Peak Clustering of Trajectory Data on Spark.

[BibT_eX]

[DOI]

Yunhong Zheng

Fan Li

Lin Gao

Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

Maintenance of Prelarge High Average-Utility Patterns in Incremental Databases.

[BibT_eX]

[DOI]

Qian Teng

Chien-Fu Cheng

Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

A Decision Support System to Provide Criminal Pattern Based Suggestions to Travelers.

[BibT_eX]

[DOI]

Keqin Li

Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

TKE: Mining Top-K Frequent Episodes.

[BibT_eX]

[DOI]

Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

Mining Cross-Level High Utility Itemsets.

[BibT_eX]

[DOI]

Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

Discovering Alarm Correlation Rules for Network Fault Management.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

TKC: Mining Top-K Cross-Level High Utility Itemsets.

[BibT_eX]

[DOI]

Ying Wang

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Discovering Frequent Spatial Patterns in Very Large Spatiotemporal Databases.

[BibT_eX]

[DOI]

Sourabh Shrivastava

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Mining Attribute Evolution Rules in Dynamic Attributed Graphs.

[BibT_eX]

[DOI]

Ganghuan He

Heitor Murilo Gomes

Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

2019

Frequent itemset mining: A 25 years review.

[BibT_eX]

[DOI]

Sebastián Ventura

WIREs Data Mining Knowl. Discov., 2019

Efficient Vertical Mining of High Average-Utility Itemsets Based on Novel Upper-Bounds.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2019

A Survey of Parallel Sequential Pattern Mining.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2019

Hiding sensitive itemsets with multiple objective optimization.

[BibT_eX]

[DOI]

Binbin Zhang

Soft Comput., 2019

Bee swarm optimization for solving the MAXSAT problem using prior knowledge.

[BibT_eX]

[DOI]

Zineb Habbas

Soft Comput., 2019

Efficient high average-utility itemset mining using novel vertical weak upper-bounds.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Mining high-utility itemsets in dynamic profit databases.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Mining significant trend sequences in dynamic attributed graphs.

[BibT_eX]

[DOI]

Chao Cheng

Zhi Cheng

Knowl. Based Syst., 2019

BILU-NEMH: A BILU neural-encoded mention hypergraph for mention extraction.

[BibT_eX]

[DOI]

Yinan Shao

Inf. Sci., 2019

Mining local and peak high utility itemsets.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Efficient algorithms to identify periodic patterns in multiple sequences.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Exploiting GPU parallelism in improving bees swarm optimization for mining big transactional databases.

[BibT_eX]

[DOI]

Ahcène Bendjoudi

Inf. Sci., 2019

PCPD: A Parallel Crime Pattern Discovery System for Large-Scale Spatiotemporal Data Based on Fuzzy Clustering.

[BibT_eX]

[DOI]

Khin Nandar Win

Jianguo Chen

Yuedan Chen

Int. J. Fuzzy Syst., 2019

GPU-based swarm intelligence for Association Rule Mining in big databases.

[BibT_eX]

[DOI]

Intell. Data Anal., 2019

CLS-Miner: efficient and effective closed high-utility itemset mining.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2019

FMaxCloHUSM: An efficient algorithm for mining frequent closed and maximal high utility sequences.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2019

Mining of skyline patterns by considering both frequent and utility constraints.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2019

Fast Utility Mining on Complex Sequences.

[BibT_eX]

[DOI]

CoRR, 2019

SPPC: a new tree structure for mining erasable patterns in data streams.

[BibT_eX]

[DOI]

Tuong Le

Mi Young Lee

Sung Wook Baik

Appl. Intell., 2019

A Sanitization Approach to Secure Shared Data in an IoT Environment.

[BibT_eX]

[DOI]

Chun-Hao Chen

IEEE Access, 2019

A Project-based PMiner Algorithm in Uncertain Databases.

[BibT_eX]

[DOI]

Chun-Hao Chen

Proceedings of the 2019 International Conference on Technologies and Applications of Artificial Intelligence, 2019

Discovering Spatial High Utility Itemsets in Spatiotemporal Databases.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Scientific and Statistical Database Management, 2019

Efficient Mining of High Average-Utility Sequential Patterns from Uncertain Databases.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Adaptive Self-Sufficient Itemset Miner for Transactional Data Streams.

[BibT_eX]

[DOI]

Feiyang Tang

David Tse Jung Huang

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility.

[BibT_eX]

[DOI]

T. Yashwanth Reddy

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

Discovering Stable Periodic-Frequent Patterns in Transactional Data.

[BibT_eX]

[DOI]

Peng Yang

Rage Uday Kiran

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

Network of Experts: Learning from Evolving Data Streams Through Network-Based Ensembles.

[BibT_eX]

[DOI]

Heitor Murilo Gomes

Albert Bifet

Jones Granatyr

Jesse Read

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Discovering Periodic Patterns in Irregular Time Series.

[BibT_eX]

[DOI]

C. Saideep

Rage Uday Kiran

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

An Efficient Chain Structure to Mine High-Utility Sequential Patterns.

[BibT_eX]

[DOI]

Yuanfa Li

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

A Parallel Crime Activity Clustering Algorithm Based on Apache Spark Cloud Computing Platform.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Proof Guidance in PVS with Sequential Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the Fundamentals of Software Engineering - 8th International Conference, 2019

Succinct BWT-Based Sequence Prediction.

[BibT_eX]

[DOI]

Rafael Ktistakis

Simon J. Puglisi

Rajeev Raman

Proceedings of the Database and Expert Systems Applications, 2019

Discovering and Visualizing Efficient Patterns in Cost/Utility Sequences.

[BibT_eX]

[DOI]

Jiaxuan Li

Tin Truong-Chi

Proceedings of the Big Data Analytics and Knowledge Discovery, 2019

Finding Strongly Correlated Trends in Dynamic Attributed Graphs.

[BibT_eX]

[DOI]

Chao Cheng

Zhi Cheng

Proceedings of the Big Data Analytics and Knowledge Discovery, 2019

A Swarm-based Data Sanitization Algorithm in Privacy-Preserving Data Mining.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Novel Parallel Framework for Metaheuristic-based Frequent Itemset Mining.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A GA-based Framework for Mining High Fuzzy Utility Itemsets.

[BibT_eX]

[DOI]

Tomasz Wiktorski

Matin Pirouz

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Mining High-Utility Sequential Patterns from Big Datasets.

[BibT_eX]

[DOI]

Yuanfa Li

Shyue-Liang Leon Wang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

TKG: Efficient Mining of Top-K Frequent Subgraphs.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics - 7th International Conference, 2019

An Explicit Relationship Between Sequential Patterns and Their Concise Representations.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics - 7th International Conference, 2019

HUE-Span: Fast High Utility Episode Mining.

[BibT_eX]

[DOI]

Peng Yang

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

2018

A survey of incremental high-utility itemset mining.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2018

Binary dragonfly optimization for feature selection using time-varying transfer functions.

[BibT_eX]

[DOI]

Xiaodong Li

Seyedali Mirjalili

Knowl. Based Syst., 2018

Extracting non-redundant correlated purchase behaviors by utility measure.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

High utility drift detection in quantitative data streams.

[BibT_eX]

[DOI]

Heri Ramampiaro

Kjetil Nørvåg

Knowl. Based Syst., 2018

Extracting useful knowledge from event logs: A frequent itemset mining approach.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

Exploiting highly qualified pattern with frequency and weight occupancy.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2018

Fast and effective cluster-based information retrieval using frequent closed itemsets.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Mining diversified association rules in big datasets: A cluster/GPU/genetic approach.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Efficiently Updating the Discovered Multiple Fuzzy Frequent Itemsets with Transaction Insertion.

[BibT_eX]

[DOI]

Int. J. Fuzzy Syst., 2018

An efficient algorithm for Hiding High Utility Sequential Patterns.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2018

Efficiently updating the discovered high average-utility itemsets with transaction insertion.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2018

ETARM: an efficient top-k association rule mining algorithm.

[BibT_eX]

[DOI]

Linh T. T. Nguyen

Ali Selamat

Appl. Intell., 2018

Maintenance algorithm for high average-utility itemsets with transaction deletion.

[BibT_eX]

[DOI]

Yina Shao

Xiangmin Guo

Appl. Intell., 2018

Efficient high utility itemset mining using buffered utility-lists.

[BibT_eX]

[DOI]

Heri Ramampiaro

Kjetil Nørvåg

Appl. Intell., 2018

A new framework for metaheuristic-based frequent itemset mining.

[BibT_eX]

[DOI]

Appl. Intell., 2018

An efficient algorithm for mining periodic high-utility sequential patterns.

[BibT_eX]

[DOI]

Duy-Tai Dinh

Van-Nam Huynh

Appl. Intell., 2018

Efficiently mining frequent itemsets applied for textual aggregation.

[BibT_eX]

[DOI]

Mustapha Bouakkaz

Sabine Loudcher

Appl. Intell., 2018

TUB-HAUPM: Tighter Upper Bound for Mining High Average-Utility Patterns.

[BibT_eX]

[DOI]

Matin Pirouz

IEEE Access, 2018

MEMU: More Efficient Algorithm to Mine High Average-Utility Patterns With Multiple Minimum Average-Utility Thresholds.

[BibT_eX]

[DOI]

IEEE Access, 2018

Football Pass Prediction Using Player Locations.

[BibT_eX]

[DOI]

Tianbiao Liu

Proceedings of the 5th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2018), 2018

Discovering Strong Meta Association Rules Using Bees Swarm Optimization.

[BibT_eX]

[DOI]

Koffi V. C. Kevin de Souza

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Radio Data Transmission Reduction in Power-Constrained WSN.

[BibT_eX]

[DOI]

Jalal Almhana

Proceedings of the 14th International Wireless Communications & Mobile Computing Conference, 2018

Interactive Discovery of Statistically Significant Itemsets.

[BibT_eX]

[DOI]

Xiang Li

Jie Yao

Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018

PPSF: An Open-Source Privacy-Preserving and Security Mining Framework.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

LocRec: Rule-Based Successive Location Recommendation in LBSN.

[BibT_eX]

[DOI]

Abderrahim Benslimane

Proceedings of the 2018 IEEE International Conference on Communications, 2018

New Tighter Upper Bounds for Mining High Average-Utility Itemsets.

[BibT_eX]

[DOI]

Matin Pirouz

Proceedings of the 2018 International Conference on Big Data and Education, 2018

A Metaheuristic Algorithm for Hiding Sensitive Itemsets.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 2018

Mining Local High Utility Itemsets.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 2018

Anonymization of Multiple and Personalized Sensitive Attributes.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

Discovering Periodic Patterns Common to Multiple Sequences.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

Concept Drift Detector Selection for Hoeffding Adaptive Trees.

[BibT_eX]

[DOI]

Moana Stirling

Sri Devi Ravana

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

Discovering High Utility Change Points in Customer Transaction Data.

[BibT_eX]

[DOI]

Yimin Zhang

Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2017

A survey of itemset mining.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2017

A binary PSO approach to mine high-utility itemsets.

[BibT_eX]

[DOI]

Soft Comput., 2017

Efficiently mining uncertain high-utility itemsets.

[BibT_eX]

[DOI]

Soft Comput., 2017

Chemical reaction optimization with unified tabu search for the vehicle routing problem.

[BibT_eX]

[DOI]

Soft Comput., 2017

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

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

FDHUP: Fast algorithm for mining discriminative high utility patterns.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

FCloSM, FGenSM: two efficient algorithms for mining frequent closed and generator sequences using the local pruning strategy.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

An efficient algorithm for mining top-k on-shelf high utility itemsets.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

Efficient hiding of confidential high-utility itemsets with minimal side effects.

[BibT_eX]

[DOI]

Jia-Wei Wong

J. Exp. Theor. Artif. Intell., 2017

MyRoute: A Graph-Dependency Based Model for Real-Time Route Prediction.

[BibT_eX]

[DOI]

J. Commun., 2017

Mining Weighted Frequent Itemsets without Candidate Generation in Uncertain Databases.

[BibT_eX]

[DOI]

Int. J. Inf. Technol. Decis. Mak., 2017

Efficient Mining of Multiple Fuzzy Frequent Itemsets.

[BibT_eX]

[DOI]

Int. J. Fuzzy Syst., 2017

Efficiently mining of skyline frequent-utility patterns.

[BibT_eX]

[DOI]

Intell. Data Anal., 2017

Mining of frequent patterns with multiple minimum supports.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2017

Extracting recent weighted-based patterns from uncertain temporal databases.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2017

A fast algorithm for mining high average-utility itemsets.

[BibT_eX]

[DOI]

Appl. Intell., 2017

Efficiently mining frequent itemsets with weight and recency constraints.

[BibT_eX]

[DOI]

Appl. Intell., 2017

A two-phase approach to mine short-period high-utility itemsets in transactional databases.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2017

FRIOD: A Deeply Integrated Feature-Rich Interactive System for Effective and Efficient Outlier Detection.

[BibT_eX]

[DOI]

Xiaodong Zhu

Hongzhou Li

Liang Chang

IEEE Access, 2017

EHAUPM: Efficient High Average-Utility Pattern Mining With Tighter Upper Bounds.

[BibT_eX]

[DOI]

IEEE Access, 2017

Analyzing students' attention in class using wearable devices.

[BibT_eX]

[DOI]

Xin Zhang

Koffi V. C. Kevin de Souza

Lan-Da Van

Yu-Chee Tseng

Proceedings of the 18th IEEE International Symposium on A World of Wireless, 2017

Energy-Efficient Partitioning Clustering Algorithm for Wireless Sensor Network.

[BibT_eX]

[DOI]

Catherine Almhana

Jalal Almhana

Proceedings of the Wireless Internet - 10th International Conference, 2017

Discovering Periodic Patterns in Non-uniform Temporal Databases.

[BibT_eX]

[DOI]

J. N. Venkatesh

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.

[BibT_eX]

[DOI]

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

Mining of High Average-Utility Itemsets with a Tighter Upper-Bound Model.

[BibT_eX]

[DOI]

Proceedings of the 4th Multidisciplinary International Social Networks Conference, 2017

TWINCLE : A Constrained Sequential Rule Mining Algorithm for Event Logs.

[BibT_eX]

[DOI]

Benjamin Dalmas

Sylvie Norre

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

Updating the Discovered High Average-Utility Patterns with Transaction Insertion.

[BibT_eX]

[DOI]

Yinan Shao

Proceedings of the Genetic and Evolutionary Computing, 2017

An Hybrid Multi-Core/GPU-Based Mimetic Algorithm for Big Association Rule Mining.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computing, 2017

Extracting Non-redundant Correlated Purchase Behaviors by Utility Measure.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

High-Utility Sequential Pattern Mining with Multiple Minimum Utility Thresholds.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - First International Joint Conference, 2017

Exploiting High Utility Occupancy Patterns.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016

Efficient Algorithms for Mining Top-K High Utility Itemsets.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Efficient mining of high-utility itemsets using multiple minimum utility thresholds.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

FHN: An efficient algorithm for mining high-utility itemsets with negative unit profits.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

An efficient algorithm for mining the top-k high utility itemsets, using novel threshold raising and pruning strategies.

[BibT_eX]

[DOI]

Bo Liao

Knowl. Based Syst., 2016

Inferring social network user profiles using a partial social graph.

[BibT_eX]

[DOI]

J. Intell. Inf. Syst., 2016

Efficiently Updating the Discovered Sequential Patterns for Sequence Modification.

[BibT_eX]

[DOI]

Int. J. Softw. Eng. Knowl. Eng., 2016

Mining high-utility itemsets based on particle swarm optimization.

[BibT_eX]

[DOI]

Shyue-Liang Leon Wang

Eng. Appl. Artif. Intell., 2016

Fast algorithms for hiding sensitive high-utility itemsets in privacy-preserving utility mining.

[BibT_eX]

[DOI]

Guo Lin

Eng. Appl. Artif. Intell., 2016

A sanitization approach for hiding sensitive itemsets based on particle swarm optimization.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2016

Weighted frequent itemset mining over uncertain databases.

[BibT_eX]

[DOI]

Appl. Intell., 2016

An efficient algorithm for mining top-rank-k frequent patterns.

[BibT_eX]

[DOI]

Appl. Intell., 2016

An efficient algorithm to mine high average-utility itemsets.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2016

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

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2016

PTA: An Efficient System for Transaction Database Anonymization.

[BibT_eX]

[DOI]

IEEE Access, 2016

Efficient Mining of Uncertain Data for High-Utility Itemsets.

[BibT_eX]

[DOI]

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

More Efficient Algorithm for Mining Frequent Patterns with Multiple Minimum Supports.

[BibT_eX]

[DOI]

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

Employing the neural networks to parametrically assess the quality of a voice call.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Performance Evaluation of Computer and Telecommunication Systems, 2016

Efficient mining of short periodic high-utility itemsets.

[BibT_eX]

[DOI]

Chien-Ming Chen

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Efficient algorithms for mining recent weighted frequent itemsets in temporal transactional databases.

[BibT_eX]

[DOI]

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

Efficient closed high-utility itemset mining.

[BibT_eX]

[DOI]

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

The SPMF Open-Source Data Mining Library Version 2.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Efficient Mining of Weighted Frequent Itemsets in Uncertain Databases.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

An Efficient Anonymous System for Transaction Data.

[BibT_eX]

[DOI]

Proceedings of the The 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016, 2016

Efficient Mining of High Average-Utility Itemsets with Multiple Minimum Thresholds.

[BibT_eX]

[DOI]

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2016

PHM: Mining Periodic High-Utility Itemsets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2016

Using Frequent Fixed or Variable-Length POS Ngrams or Skip-Grams for Blog Authorship Attribution.

[BibT_eX]

[DOI]

Yao Jean Marc Pokou

Proceedings of the Artificial Intelligence Applications and Innovations, 2016

FHM + : Faster High-Utility Itemset Mining Using Length Upper-Bound Reduction.

[BibT_eX]

[DOI]

Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016

A More Efficient Algorithm to Mine Skyline Frequent-Utility Patterns.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computing, 2016

Authorship Attribution using Variable Length Part-of-Speech Patterns.

[BibT_eX]

[DOI]

Yao Jean Marc Pokou

Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016

Mining Correlated High-Utility Itemsets Using the Bond Measure.

[BibT_eX]

[DOI]

Tai Dinh

Hoai Bac Le

Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Fast algorithms for mining multiple fuzzy frequent itemsets.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Authorship Attribution Using Small Sets of Frequent Part-of-Speech Skip-grams.

[BibT_eX]

[DOI]

Yao Jean Marc Pokou

Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

How to Apply Gamification Techniques to Design a Gaming Environment for Algebra Concepts.

[BibT_eX]

[DOI]

Sioui Maldonado-Bouchard

Proceedings of the E-Learning, E-Education, and Online Training, 2016

More Efficient Algorithms for Mining High-Utility Itemsets with Multiple Minimum Utility Thresholds.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 2016

Mining Minimal High-Utility Itemsets.

[BibT_eX]

[DOI]

Proceedings of the Database and Expert Systems Applications, 2016

Mining Recent High-Utility Patterns from Temporal Databases with Time-Sensitive Constraint.

[BibT_eX]

[DOI]

Proceedings of the Big Data Analytics and Knowledge Discovery, 2016

Mining Recent High Expected Weighted Itemsets from Uncertain Databases.

[BibT_eX]

[DOI]

Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

Efficient Mining of Fuzzy Frequent Itemsets with Type-2 Membership Functions.

[BibT_eX]

[DOI]

Xianbiao Lv

Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

Mining Discriminative High Utility Patterns.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016

2015

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

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

Mining Partially-Ordered Sequential Rules Common to Multiple Sequences.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

A fast Algorithm for mining fuzzy frequent itemsets.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2015

RWFIM: Recent weighted-frequent itemsets mining.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2015

Mining closed+ high utility itemsets without candidate generation.

[BibT_eX]

[DOI]

Jia-Yuan Gu

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

FOSHU: faster on-shelf high utility itemset mining - with or without negative unit profit.

[BibT_eX]

[DOI]

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

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

[BibT_eX]

[DOI]

Rajeev Raman

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

Efficient Mining of High-Utility Sequential Rules.

[BibT_eX]

[DOI]

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

A Swarm-Based Approach to Mine High-Utility Itemsets.

[BibT_eX]

[DOI]

Shyue-Liang Leon Wang

Proceedings of the Multidisciplinary Social Networks Research, 2015

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

[BibT_eX]

[DOI]

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

More Accurate Inference of User Profiles in Online Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence and Its Applications, 2015

Accurate Online Social Network User Profiling.

[BibT_eX]

[DOI]

Proceedings of the KI 2015: Advances in Artificial Intelligence, 2015

A Swarm-Based Sanitization Approach for Hiding Confidential Itemsets.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2015

A Sanitization Approach of Privacy Preserving Utility Mining.

[BibT_eX]

[DOI]

Guo Lin

Proceedings of the Genetic and Evolutionary Computing, 2015

UP-Miner: A Utility Pattern Mining Toolbox.

[BibT_eX]

[DOI]

Jun-Han Lin

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

Réduction de la complexité spatiale et temporelle du Compact Prediction Tree pour la prédiction de séquences.

[BibT_eX]

[DOI]

Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

Mining high-utility itemsets with various discount strategies.

[BibT_eX]

[DOI]

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

Mining High-Utility Itemsets with Multiple Minimum Utility Thresholds.

[BibT_eX]

[DOI]

Proceedings of the Eighth International C* Conference on Computer Science & Software Engineering, 2015

Mining Potential High-Utility Itemsets over Uncertain Databases.

[BibT_eX]

[DOI]

Proceedings of the ASE BigData & SocialInformatics 2015, 2015

Efficient Incremental High Utility Itemset Mining.

[BibT_eX]

[DOI]

Prashant Barhate

Proceedings of the ASE BigData & SocialInformatics 2015, 2015

Mining Weighted Frequent Itemsets with the Recency Constraint.

[BibT_eX]

[DOI]

Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

Inferring User Profiles in Online Social Networks Using a Partial Social Graph.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2015

2014

SPMF: a Java open-source pattern mining library.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Fast Vertical Mining of Sequential Patterns Using Co-occurrence Information.

[BibT_eX]

[DOI]

Antonio Gomariz

Manuel Campos

Rincy Thomas

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

A Dynamic Questionnaire to Further Reduce Questions in Learning Style Assessment.

[BibT_eX]

[DOI]

Espérance Mwamikazi

Robert Baudouin

Proceedings of the Artificial Intelligence Applications and Innovations, 2014

An Adaptive Questionnaire for Automatic Identification of Learning Styles.

[BibT_eX]

[DOI]

Espérance Mwamikazi

Adnen Barhoumi

Robert Baudouin

Proceedings of the Modern Advances in Applied Intelligence, 2014

ERMiner: Sequential Rule Mining Using Equivalence Classes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XIII, 2014

VGEN: Fast Vertical Mining of Sequential Generator Patterns.

[BibT_eX]

[DOI]

Antonio Gomariz

Michal Sebek

Martin Hlosta

Proceedings of the Data Warehousing and Knowledge Discovery, 2014

VMSP: Efficient Vertical Mining of Maximal Sequential Patterns.

[BibT_eX]

[DOI]

Antonio Gomariz

Proceedings of the Advances in Artificial Intelligence, 2014

Novel Concise Representations of High Utility Itemsets Using Generator Patterns.

[BibT_eX]

[DOI]

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

FHN: Efficient Mining of High-Utility Itemsets with Negative Unit Profits.

[BibT_eX]

[DOI]

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

2013

A Multiparadigm Intelligent Tutoring System for Robotic Arm Training.

[BibT_eX]

[DOI]

IEEE Trans. Learn. Technol., 2013

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

[BibT_eX]

[DOI]

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

Assessing Procedural Knowledge in Free-Text Answers through a Hybrid Semantic Web Approach.

[BibT_eX]

[DOI]

Eric Snow

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

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

[BibT_eX]

[DOI]

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

Mining Maximal Sequential Patterns without Candidate Maintenance.

[BibT_eX]

[DOI]

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

MEIT: Memory Efficient Itemset Tree for Targeted Association Rule Mining.

[BibT_eX]

[DOI]

Espérance Mwamikazi

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

TKS: Efficient Mining of Top-K Sequential Patterns.

[BibT_eX]

[DOI]

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

2012

CMRules: Mining sequential rules common to several sequences.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2012

A computational model for causal learning in cognitive agents.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2012

Multi-paradigm Generation of Tutoring Feedback in Robotic Arm Manipulation Training.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

Mining Top-K Non-redundant Association Rules.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2012

Mining Top-K Association Rules.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2012

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

[BibT_eX]

[DOI]

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

2011

Learning task models in ill-defined domain using an hybrid knowledge discovery framework.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2011

Identifying Causes Helps a Tutoring System to Better Adapt to Learners duringTraining Sessions.

[BibT_eX]

[DOI]

J. Intell. Learn. Syst. Appl., 2011

Human-like learning in a conscious agent.

[BibT_eX]

[DOI]

J. Exp. Theor. Artif. Intell., 2011

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

[BibT_eX]

[DOI]

Vincent Shin-Mu Tseng

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

An Hybrid Expert Model to Support Tutoring Services in Robotic Arm Manipulations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2011

Implementing an Efficient Causal Learning Mechanism in a Cognitive Tutoring Agent.

[BibT_eX]

[DOI]

Proceedings of the Modern Approaches in Applied Intelligence, 2011

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

[BibT_eX]

[DOI]

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

A Cognitive Tutoring Agent with Automatic Reasoning Capabilities.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

A Cognitive Tutoring Agent with Episodic and Causal Learning Capabilities.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

Mining Top-K Sequential Rules.

[BibT_eX]

[DOI]

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

2010

Building Intelligent Tutoring Systems for Ill-Defined Domains.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Tutoring Systems, 2010

Exploiting Sequential Patterns Found in Users' Solutions and Virtual Tutor Behavior to Improve Assistance in ITS.

[BibT_eX]

[DOI]

J. Educ. Technol. Soc., 2010

ITS in Ill-Defined Domains: Toward Hybrid Approaches.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

The Combination of a Causal and Emotional Learning Mechanism for an Improved Cognitive Tutoring Agent.

[BibT_eX]

[DOI]

Proceedings of the Trends in Applied Intelligent Systems, 2010

CMRULES: An Efficient Algorithm for Mining Sequential Rules Common to Several Sequences.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010

2009

Improving the Behavior of Intelligent Tutoring Agents with Data Mining.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2009

How Emotional Mechanism Helps Episodic Learning in a Cognitive Agent.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Intelligent Agents, IA 2009, part of the IEEE Symposium Series on Computational Intelligence 2009, Nashville, TN, USA, March 30, 2009, 2009

A Generic Episodic Learning Model Implemented in a Cognitive Agent by Means of Temporal Pattern Mining.

[BibT_eX]

[DOI]

Proceedings of the Next-Generation Applied Intelligence, 2009

Exploiting Partial Problem Spaces Learned from Users' Interactions to Provide Key Tutoring Services in Procedural and Ill-Defined Domains.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009

Mining Temporal Patterns to Improve Agents Behavior: Two Case Studies.

[BibT_eX]

[DOI]

Proceedings of the Data Mining and Multi-agent Integration, 2009

2008

Evaluating Spatial Representations and Skills in a Simulator-Based Tutoring System.

[BibT_eX]

[DOI]

IEEE Trans. Learn. Technol., 2008

A Knowledge Discovery Framework for Learning Task Models from User Interactions in Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008

Using Knowledge Discovery Techniques to Support Tutoring in an Ill-Defined Domain.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Tutoring Systems, 9th International Conference, 2008

A Framework for Evaluating Semantic Knowledge in Problem-Solving-Based Intelligent Tutoring Systems.

[BibT_eX]

[DOI]

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

Evaluating Spatial Knowledge through Problem-Solving in Virtual Learning Environments.

[BibT_eX]

[DOI]

Proceedings of the Times of Convergence. Technologies Across Learning Contexts, 2008

2007

Automatic Evaluation of Spatial Representations for Complex Robotic Arms Manipulations.

[BibT_eX]

[DOI]

Daniel Dubois

Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, 2007

A Framework for Problem-Solving Knowledge Mining from Users' Actions.

[BibT_eX]

Olivier Couturier

Proceedings of the Artificial Intelligence in Education, 2007

Problem-Solving Knowledge Mining from Users' Actions in an Intelligent Tutoring System.

[BibT_eX]

[DOI]

Olivier Couturier

Proceedings of the Advances in Artificial Intelligence, 2007

2006

From Black-Box Learning Objects to Glass-Box Learning Objects.

[BibT_eX]

[DOI]

Mehdi Najjar

Proceedings of the Intelligent Tutoring Systems, 8th International Conference, 2006

Recalling Recollections according to Temporal Contexts Applying a Novel Cognitive Knowledge Representation Approach.

[BibT_eX]

[DOI]

Mehdi Najjar

Jean-François Lebeau

Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006

2005

DOKGETT - An Authoring Tool for Cognitive Model-Based Generation of the Knowledge.

[BibT_eX]

[DOI]

Mehdi Najjar