2008 |
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 |