Aijun An

Dusan Stevanovic, Aijun An, Natalija Vlajic: Feature evaluation for web crawler detection with data mining techniques. Expert Syst. Appl. 39(10): 8707-8717 (2012)

Xiaohui Yu, Yang Liu, Xiangji Huang, Aijun An: Mining Online Reviews for Predicting Sales Performance: A Case Study in the Movie Domain. IEEE Trans. Knowl. Data Eng. 24(4): 720-734 (2012)

Mehdi Kargar, Aijun An: Efficient Top-k Keyword Search in Graphs with Polynomial Delay. ICDE 2012: 1269-1272

Mehdi Kargar, Aijun An, Morteza ZiHayat: Efficient Bi-objective Team Formation in Social Networks. ECML/PKDD (2) 2012: 483-498

Yang Liu, Xiaohui Yu, Jimmy Xiangji Huang, Aijun An: Combining integrated sampling with SVM ensembles for learning from imbalanced datasets. Inf. Process. Manage. 47(4): 617-631 (2011)

Nick Cercone, Xiangdong An, Jiye Li, Zhenmei Gu, Aijun An: Finding best evidence for evidence-based best practice recommendations in health care: the initial decision support system design. Knowl. Inf. Syst. 29(1): 159-201 (2011)

Dusan Stevanovic, Natalija Vlajic, Aijun An: Unsupervised Clustering of Web Sessions to Detect Malicious and Non-malicious Website Users. Procedia CS 5: 123-131 (2011)

Mehdi Kargar, Aijun An: Keyword Search in Graphs: Finding r-cliques. PVLDB 4(10): 681-692 (2011)

Bahareh Sarrafzadeh, Nikolay Yakovets, Nick Cercone, Aijun An: Cross-Lingual Word Sense Disambiguation for Languages with Scarce Resources. Canadian Conference on AI 2011: 347-358

Mehdi Kargar, Aijun An: Discovering top-k teams of experts with/without a leader in social networks. CIKM 2011: 985-994

Mehdi Kargar, Aijun An: TeamExp: Top-k Team Formation in Social Networks. ICDM Workshops 2011: 1231-1234

Bahareh Sarrafzadeh, Nikolay Yakovets, Nick Cercone, Aijun An: Towards Automatic Acquisition of a Fully Sense Tagged Corpus for Persian. ISMIS 2011: 449-455

Dusan Stevanovic, Aijun An, Natalija Vlajic: Detecting Web Crawlers from Web Server Access Logs with Data Mining Classifiers. ISMIS 2011: 483-489

Aijun An, Dominik Slezak: Introduction to the special issue on advanced information retrieval and databases. J. Intell. Inf. Syst. 34(3): 223-225 (2010)

Mehdi Kargar, Aijun An: Evaluation of different complexity measures for signal detection in genome sequences. BCB 2010: 422-425

Mehdi Kargar, Aijun An: The Effect of Sequence Complexity on the Construction of Protein-Protein Interaction Networks. Brain Informatics 2010: 308-319

Damon Sotoudeh, Aijun An: Partial drift detection using a rule induction framework. CIKM 2010: 769-778

Xiangji Huang, Aijun An, Qinmin Hu: Medical search and classification tools for recommendation. SIGIR 2010: 707

Yang Liu, Xiaohui Yu, Xiangji Huang, Aijun An: S-PLASA+: adaptive sentiment analysis with application to sales performance prediction. SIGIR 2010: 873-874

Xiaohui Yu, Yang Liu, Aijun An: An Adaptive Model for Probabilistic Sentiment Analysis. Web Intelligence 2010: 661-667

Xiaohui Yu, Yang Liu, Xiangji Huang, Aijun An: A quality-aware model for sales prediction using reviews. WWW 2010: 1217-1218

Aijun An, Pawan Lingras, Sheila Petty, Runhe Huang (Eds.): Active Media Technology, 6th International Conference, AMT 2010, Toronto, Canada, August 28-30, 2010. Proceedings. Lecture Notes in Computer Science 6335, Springer 2010, isbn 978-3-642-15469-0

Jimmy Huang, Nick Koudas, Gareth J. F. Jones, Xindong Wu, Kevyn Collins-Thompson, Aijun An (Eds.): Proceedings of the 19th ACM Conference on Information and Knowledge Management, CIKM 2010, Toronto, Ontario, Canada, October 26-30, 2010. ACM 2010, isbn 978-1-4503-0099-5

Bill Andreopoulos, Aijun An, Xiaogang Wang, Michael Schroeder: A roadmap of clustering algorithms: finding a match for a biomedical application. Briefings in Bioinformatics 10(3): 297-314 (2009)

Bill Andreopoulos, Aijun An, Xiaogang Wang, Dirk Labudde: Efficient layered density-based clustering of categorical data. Journal of Biomedical Informatics 42(2): 365-376 (2009)

Qian Wan, Aijun An: Discovering Transitional Patterns and Their Significant Milestones in Transaction Databases. IEEE Trans. Knowl. Data Eng. 21(12): 1692-1707 (2009)

Hashmat Rohian, Aijun An, Jiashu Zhao, Xiangji Huang: Discovering Temporal Associations among Significant Changes in Gene Expression. BIBM 2009: 419-423

Aijun An, Qian Wan, Jiashu Zhao, Xiangji Huang: Diverging patterns: discovering significant frequency change dissimilarities in large databases. CIKM 2009: 1473-1476

Aijun An: Classification Methods. Encyclopedia of Data Warehousing and Mining 2009: 196-201

Bill Andreopoulos, Aijun An, Xiangji Huang, Dirk Labudde: Integration of Genomic, Proteomic and Biomedical Information on the Semantic Web. ER Workshops 2008: 33-42

Yang Liu, Xiangji Huang, Aijun An, Xiaohui Yu: Modeling and Predicting the Helpfulness of Online Reviews. ICDM 2008: 443-452

Yang Liu, Xiangji Huang, Aijun An, Xiaohui Yu: HelpMeter: A Nonlinear Model for Predicting the Helpfulness of Online Reviews. Web Intelligence 2008: 793-796

Aijun An, Stan Matwin, Zbigniew W. Ras, Dominik Slezak (Eds.): Foundations of Intelligent Systems, 17th International Symposium, ISMIS 2008, Toronto, Canada, May 20-23, 2008, Proceedings. Lecture Notes in Computer Science 4994, Springer 2008, isbn 978-3-540-68122-9

Bill Andreopoulos, Aijun An, Xiaogang Wang, Michalis Faloutsos, Michael Schroeder: Clustering by common friends finds locally significant proteins mediating modules. Bioinformatics 23(9): 1124-1131 (2007)

Bill Andreopoulos, Aijun An, Xiangji Huang, Xiaogang Wang: Finding molecular complexes through multiple layer clustering of protein interaction networks. IJBRA 3(1): 65-85 (2007)

Bill Andreopoulos, Aijun An, Vassilios Tzerpos, Xiaogang Wang: Clustering large software systems at multiple layers. Information & Software Technology 49(3): 244-254 (2007)

Yang Liu, Xiangji Huang, Aijun An: Personalized recommendation with adaptive mixture of markov models. JASIST 58(12): 1851-1870 (2007)

Qian Wan, Aijun An: Transitional Patterns and Their Significant Milestones. ICDM 2007: 691-696

Bill Andreopoulos, Aijun An, Xiaogang Wang: Hierarchical Density-Based Clustering of Categorical Data and a Simplification. PAKDD 2007: 11-22

Alexander Andreopoulos, Bill Andreopoulos, Aijun An, Xiaogang Wang: Translation and Rotation Invariant Mining of Frequent Trajectories: Application to Protein Unfolding Pathways. PAKDD Workshops 2007: 174-185

Linyan Wang, Aijun An: Fast Counting with AV-Space for Efficient Rule Induction. SDM 2007

Yang Liu, Xiangji Huang, Aijun An, Xiaohui Yu: ARSA: a sentiment-aware model for predicting sales performance using blogs. SIGIR 2007: 607-614

Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Witold Pedrycz, Guoyin Wang (Eds.): Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007, Proceedings. Lecture Notes in Computer Science 4482, Springer 2007, isbn 978-3-540-72529-9

Bill Andreopoulos, Aijun An, Xiaogang Wang: Bi-level clustering of mixed categorical and numerical biomedical data. IJDMB 1(1): 19-56 (2006)

Aijun An, Shakil M. Khan, Xiangji Huang: Hierarchical grouping of association rules and its application to a real-world domain. Int. J. Systems Science 37(13): 867-878 (2006)

Qian Wan, Aijun An: An efficient approach to mining indirect associations. J. Intell. Inf. Syst. 27(2): 135-158 (2006)

Xiangji Huang, Qingsong Yao, Aijun An: Applying language modeling to session identification from database trace logs. Knowl. Inf. Syst. 10(4): 473-504 (2006)

Qian Wan, Aijun An: Efficient indirect association discovery using compact transaction databases. GrC 2006: 154-159

Xiangji Huang, Yan Rui Huang, Miao Wen, Aijun An, Yang Liu, Josiah Poon: Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text Retrieval. ICDM 2006: 295-306

Qingsong Yao, Aijun An, Xiangji Huang: Mining and Modeling Database User Access Patterns. ISMIS 2006: 493-503

Yang Liu, Aijun An, Xiangji Huang: Boosting Prediction Accuracy on Imbalanced Datasets with SVM Ensembles. PAKDD 2006: 107-118

Xiangji Huang, Miao Wen, Aijun An, Yan Rui Huang: A platform for Okapi-based contextual information retrieval. SIGIR 2006: 728

Yu Fan, Xiangji Huang, Aijun An: York University at TREC 2006: Enterprise Email Discussion Search. TREC 2006

Qingsong Yao, Aijun An, Xiangji Huang: Finding and Analyzing Database User Sessions. DASFAA 2005: 851-862

Qingsong Yao, Xiangji Huang, Aijun An: A Machine Learning Approach to Identifying Database Sessions Using Unlabeled Data. DaWaK 2005: 254-264

Yu Li, Aijun An: Representing UML Snowflake Diagram from Integrating XML Data Using XML Schema. DEEC 2005: 103-111

Qian Wan, Aijun An: Compact transaction database for efficient frequent pattern mining. GrC 2005: 652-659

Ying Zou, Aijun An, Xiangji Huang: Evaluation and automatic selection of methods for handling missing data. GrC 2005: 728-733

Bill Andreopoulos, Aijun An, Xiaogang Wang: Clustering mixed numerical and low quality categorical data: significance metrics on a yeast example. IQIS 2005: 87-98

Qingsong Yao, Aijun An, Xiangji Huang: A Distance-Based Algorithm for Clustering Database User Sessions. ISMIS 2005: 562-572

Wei Cao, Aijun An, Xiangji Huang: York University at TREC 2005: SPAM Track. TREC 2005

Miao Wen, Xiangji Huang, Aijun An, Yan Rui Huang: York University at TREC 2005: HARD Track. TREC 2005

Bill Andreopoulos, Aijun An, Vassilios Tzerpos, Xiaogang Wang: Multiple Layer Clustering of Large Software Systems. WCRE 2005: 79-88

Xiangji Huang, Fuchun Peng, Aijun An, Dale Schuurmans: Dynamic Web log session identification with statistical language models. JASIST 55(14): 1290-1303 (2004)

Aijun An, Yanhui Huang, Xiangji Huang, Nick Cercone: Feature Selection with Rough Sets for Web Page Classification. : 1-13 (2004)

Qingsong Yao, Aijun An: Characterizing Database User's Access Patterns. DEXA 2004: 528-538

Yang Liu, Xiangji Huang, Aijun An, Gary Promhouse: Clustering Web Surfers with Probabilistic Models in a Real Application. Web Intelligence 2004: 761-765

Qian Wan, Aijun An: Efficient Mining of Indirect Associations Using HI-Mine. Canadian Conference on AI 2003: 206-221

Xiangji Huang, Fuchun Peng, Aijun An, Dale Schuurmans, Nick Cercone: Session Boundary Detection for Association Rule Learning Using n-Gram Language Models. Canadian Conference on AI 2003: 237-251

Qingsong Yao, Aijun An: Using User Access Patterns for Semantic Query Caching. DEXA 2003: 737-746

Aijun An, Shakil M. Khan, Xiangji Huang: Objective and Subjective Algorithms for Grouping Association Rules. ICDM 2003: 477-480

Qingsong Yao, Aijun An: SQL-Relay: An Event-Driven Rule-Based Database Gateway. WAIM 2003: 506-507

Nick Cercone, Lijun Hou, Vlado Keselj, Aijun An, Kanlaya Naruedomkul, Xiaohua Hu: From Computational Intelligence to Web Intelligence. IEEE Computer 35(11): 72-76 (2002)

Xiangji Huang, Nick Cercone, Aijun An: Comparison of interestingness functions for learning web usage patterns. CIKM 2002: 617-620

Xiangji Huang, Aijun An, Nick Cercone, Gary Promhouse: Discovery of Interesting Association Rules from Livelink Web Log Data. ICDM 2002: 763-766

Aijun An, Nick Cercone: Rule Quality Measures for Rule Induction Systems: Description and Evaluation. Computational Intelligence 17(3): 409-424 (2001)

Aijun An, Nick Cercone, Xiangji Huang: A Case Study for Learning from Imbalanced Data Sets. Canadian Conference on AI 2001: 1-15

Aijun An, Yuanyuan Wang: Comparisons of Classification Methods for Screening Potential Compounds. ICDM 2001: 11-18

Xiangji Huang, Stephen E. Robertson, Nick Cercone, Aijun An: Probability-Based Chinese Text Processing and Retrieval. Computational Intelligence 16(4): 552-569 (2000)

Jianchao Han, Aijun An, Nick Cercone: CViz: An Interactive Visualization System for Rule Induction. Canadian Conference on AI 2000: 214-226

Aijun An, Nick Cercone: Rule Quality Measures Improve the Accuracy of Rule Induction: An Experimental Approach. ISMIS 2000: 119-129

Nick Cercone, Aijun An, Christine W. Chan: Rule-Induction and Case-Based Reasoning: Hybrid Architectures Appear Advantageous. IEEE Trans. Knowl. Data Eng. 11(1): 166-174 (1999)

Aijun An, Nick Cercone, Christine W. Chan: ORTES: The Design of a Real-Time Control Expert System. ISMIS 1999: 319-329

Aijun An, Nick Cercone: Discretization of Continuous Attributes for Learning Classification Rules. PAKDD 1999: 509-514

Aijun An, Nick Cercone: An Empirical Study on Rule Quality Measures. RSFDGrC 1999: 482-491

Aijun An, Nick Cercone: ELEM2: A Learning System for More Accurate Classifications. Canadian Conference on AI 1998: 426-441

Aijun An, Christine W. Chan, Ning Shan, Nick Cercone, Wojciech Ziarko: Applying Knowledge Discovery to Predict Water-Supply Consumption. IEEE Expert 12(4): 72-78 (1997)

Aijun An, Nick Cercone, Christine W. Chan: Integrating Rule Induction and Case-Based Reasoning to Enhance Problem Solving. ICCBR 1997: 499-508

Christine W. Chan, Nick Cercone, Aijun An, Paitoon Tontiwachwuthikul: Object-Oriented Modelling and Simulation of an Expert System for Monitoring and Control of a Water Distribution System. OOIS 1994: 130-133