2008 | ||
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56 | Aijun An, Stan Matwin, Zbigniew W. Ras, Dominik Slezak: Foundations of Intelligent Systems, 17th International Symposium, ISMIS 2008, Toronto, Canada, May 20-23, 2008, Proceedings Springer 2008 | |
55 | EE | Bill Andreopoulos, Aijun An, Xiangji Huang, Dirk Labudde: Integration of Genomic, Proteomic and Biomedical Information on the Semantic Web. ER Workshops 2008: 33-42 |
54 | EE | Yang Liu, Xiangji Huang, Aijun An, Xiaohui Yu: Modeling and Predicting the Helpfulness of Online Reviews. ICDM 2008: 443-452 |
53 | EE | Yang Liu, Xiangji Huang, Aijun An, Xiaohui Yu: HelpMeter: A Nonlinear Model for Predicting the Helpfulness of Online Reviews. Web Intelligence 2008: 793-796 |
2007 | ||
52 | Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Witold Pedrycz, Guoyin Wang: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007, Proceedings Springer 2007 | |
51 | EE | Qian Wan, Aijun An: Transitional Patterns and Their Significant Milestones. ICDM 2007: 691-696 |
50 | EE | Bill Andreopoulos, Aijun An, Xiaogang Wang: Hierarchical Density-Based Clustering of Categorical Data and a Simplification. PAKDD 2007: 11-22 |
49 | EE | 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 |
48 | EE | Linyan Wang, Aijun An: Fast Counting with AV-Space for Efficient Rule Induction. SDM 2007 |
47 | EE | Yang Liu, Xiangji Huang, Aijun An, Xiaohui Yu: ARSA: a sentiment-aware model for predicting sales performance using blogs. SIGIR 2007: 607-614 |
46 | EE | 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) |
45 | EE | 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) |
44 | EE | Bill Andreopoulos, Aijun An, Vassilios Tzerpos, Xiaogang Wang: Clustering large software systems at multiple layers. Information & Software Technology 49(3): 244-254 (2007) |
43 | EE | Yang Liu, Xiangji Huang, Aijun An: Personalized recommendation with adaptive mixture of markov models. JASIST 58(12): 1851-1870 (2007) |
2006 | ||
42 | EE | 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 |
41 | EE | Qingsong Yao, Aijun An, Xiangji Huang: Mining and Modeling Database User Access Patterns. ISMIS 2006: 493-503 |
40 | EE | Yang Liu, Aijun An, Xiangji Huang: Boosting Prediction Accuracy on Imbalanced Datasets with SVM Ensembles. PAKDD 2006: 107-118 |
39 | EE | Xiangji Huang, Miao Wen, Aijun An, Yan Rui Huang: A platform for Okapi-based contextual information retrieval. SIGIR 2006: 728 |
38 | EE | Yu Fan, Xiangji Huang, Aijun An: York University at TREC 2006: Enterprise Email Discussion Search. TREC 2006 |
37 | EE | Bill Andreopoulos, Aijun An, Xiaogang Wang: Bi-level clustering of mixed categorical and numerical biomedical data. IJDMB 1(1): 19-56 (2006) |
36 | EE | Qian Wan, Aijun An: An efficient approach to mining indirect associations. J. Intell. Inf. Syst. 27(2): 135-158 (2006) |
35 | EE | Xiangji Huang, Qingsong Yao, Aijun An: Applying language modeling to session identification from database trace logs. Knowl. Inf. Syst. 10(4): 473-504 (2006) |
2005 | ||
34 | EE | Qingsong Yao, Aijun An, Xiangji Huang: Finding and Analyzing Database User Sessions. DASFAA 2005: 851-862 |
33 | EE | Yu Li, Aijun An: Representing UML Snowflake Diagram from Integrating XML Data Using XML Schema. DEEC 2005: 103-111 |
32 | EE | Qingsong Yao, Xiangji Huang, Aijun An: A Machine Learning Approach to Identifying Database Sessions Using Unlabeled Data. DaWaK 2005: 254-264 |
31 | EE | Qian Wan, Aijun An: Compact transaction database for efficient frequent pattern mining. GrC 2005: 652-659 |
30 | EE | Ying Zou, Aijun An, Xiangji Huang: Evaluation and automatic selection of methods for handling missing data. GrC 2005: 728-733 |
29 | EE | Bill Andreopoulos, Aijun An, Xiaogang Wang: Clustering mixed numerical and low quality categorical data: significance metrics on a yeast example. IQIS 2005: 87-98 |
28 | EE | Qingsong Yao, Aijun An, Xiangji Huang: A Distance-Based Algorithm for Clustering Database User Sessions. ISMIS 2005: 562-572 |
27 | EE | Bill Andreopoulos, Aijun An, Vassilios Tzerpos, Xiaogang Wang: Multiple Layer Clustering of Large Software Systems. WCRE 2005: 79-88 |
2004 | ||
26 | EE | Qingsong Yao, Aijun An: Characterizing Database User's Access Patterns. DEXA 2004: 528-538 |
25 | EE | Yang Liu, Xiangji Huang, Aijun An, Gary Promhouse: Clustering Web Surfers with Probabilistic Models in a Real Application. Web Intelligence 2004: 761-765 |
24 | EE | Xiangji Huang, Fuchun Peng, Aijun An, Dale Schuurmans: Dynamic Web log session identification with statistical language models. JASIST 55(14): 1290-1303 (2004) |
23 | EE | Aijun An, Yanhui Huang, Xiangji Huang, Nick Cercone: Feature Selection with Rough Sets for Web Page Classification. T. Rough Sets: 1-13 (2004) |
2003 | ||
22 | EE | Qian Wan, Aijun An: Efficient Mining of Indirect Associations Using HI-Mine. Canadian Conference on AI 2003: 206-221 |
21 | EE | 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 |
20 | EE | Qingsong Yao, Aijun An: Using User Access Patterns for Semantic Query Caching. DEXA 2003: 737-746 |
19 | EE | Aijun An, Shakil M. Khan, Xiangji Huang: Objective and Subjective Algorithms for Grouping Association Rules. ICDM 2003: 477-480 |
18 | EE | Qingsong Yao, Aijun An: SQL-Relay: An Event-Driven Rule-Based Database Gateway. WAIM 2003: 506-507 |
2002 | ||
17 | EE | Xiangji Huang, Nick Cercone, Aijun An: Comparison of interestingness functions for learning web usage patterns. CIKM 2002: 617-620 |
16 | EE | Xiangji Huang, Aijun An, Nick Cercone, Gary Promhouse: Discovery of Interesting Association Rules from Livelink Web Log Data. ICDM 2002: 763-766 |
15 | EE | 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) |
2001 | ||
14 | EE | Aijun An, Nick Cercone, Xiangji Huang: A Case Study for Learning from Imbalanced Data Sets. Canadian Conference on AI 2001: 1-15 |
13 | EE | Aijun An, Yuanyuan Wang: Comparisons of Classification Methods for Screening Potential Compounds. ICDM 2001: 11-18 |
12 | Aijun An, Nick Cercone: Rule Quality Measures for Rule Induction Systems: Description and Evaluation. Computational Intelligence 17(3): 409-424 (2001) | |
2000 | ||
11 | EE | Jianchao Han, Aijun An, Nick Cercone: CViz: An Interactive Visualization System for Rule Induction. Canadian Conference on AI 2000: 214-226 |
10 | EE | Aijun An, Nick Cercone: Rule Quality Measures Improve the Accuracy of Rule Induction: An Experimental Approach. ISMIS 2000: 119-129 |
9 | Xiangji Huang, Stephen E. Robertson, Nick Cercone, Aijun An: Probability-Based Chinese Text Processing and Retrieval. Computational Intelligence 16(4): 552-569 (2000) | |
1999 | ||
8 | Aijun An, Nick Cercone, Christine W. Chan: ORTES: The Design of a Real-Time Control Expert System. ISMIS 1999: 319-329 | |
7 | EE | Aijun An, Nick Cercone: Discretization of Continuous Attributes for Learning Classification Rules. PAKDD 1999: 509-514 |
6 | Aijun An, Nick Cercone: An Empirical Study on Rule Quality Measures. RSFDGrC 1999: 482-491 | |
5 | EE | 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) |
1998 | ||
4 | Aijun An, Nick Cercone: ELEM2: A Learning System for More Accurate Classifications. Canadian Conference on AI 1998: 426-441 | |
1997 | ||
3 | Aijun An, Nick Cercone, Christine W. Chan: Integrating Rule Induction and Case-Based Reasoning to Enhance Problem Solving. ICCBR 1997: 499-508 | |
2 | 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) | |
1994 | ||
1 | 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 |