Aijun An - researchr alias

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2011

2010

Active Media Technology, 6th International Conference, AMT 2010, Toronto, Canada, August 28-30, 2010. ProceedingsAijun An, Pawan Lingras, Sheila Petty, Runhe Huang, editors, Volume 6335 of Lecture Notes in Computer Science, Springer, 2010. [doi]

Introduction to the special issue on advanced information retrieval and databasesAijun An, Dominik Slezak. jiis, 34(3):223-225, 2010. [doi]

Proceedings of the 19th ACM Conference on Information and Knowledge Management, CIKM 2010, Toronto, Ontario, Canada, October 26-30, 2010Jimmy Huang, Nick Koudas, Gareth Jones, Xindong Wu, Kevyn Collins-Thompson, Aijun An, editors, ACM, 2010.

Medical search and classification tools for recommendationXiangji Huang, Aijun An, Qinmin Hu. sigir 2010: 707 [doi]

The Effect of Sequence Complexity on the Construction of Protein-Protein Interaction NetworksMehdi Kargar, Aijun An. brain 2010: 308-319 [doi]

Evaluation of different complexity measures for signal detection in genome sequencesMehdi Kargar, Aijun An. bcb 2010: 422-425 [doi]

S-PLASA+: adaptive sentiment analysis with application to sales performance predictionYang Liu, Xiaohui Yu, Xiangji Huang, Aijun An. sigir 2010: 873-874 [doi]

Partial drift detection using a rule induction frameworkDamon Sotoudeh, Aijun An. CIKM 2010: 769-778 [doi]

A quality-aware model for sales prediction using reviewsXiaohui Yu, Yang Liu, Xiangji Huang, Aijun An. WWW 2010: 1217-1218 [doi]

An Adaptive Model for Probabilistic Sentiment AnalysisXiaohui Yu, Yang Liu, Aijun An. webi 2010: 661-667 [doi]

2009

2008

2007

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007, ProceedingsAijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Witold Pedrycz, Guoyin Wang, editors, Volume 4482 of Lecture Notes in Computer Science, Springer, 2007.

Clustering by common friends finds locally significant proteins mediating modulesBill Andreopoulos, Aijun An, Xiaogang Wang, Michalis Faloutsos, Michael Schroeder. bioinformatics, 23(9):1124-1131, 2007. [doi]

Finding molecular complexes through multiple layer clustering of protein interaction networksBill Andreopoulos, Aijun An, Xiangji Huang, Xiaogang Wang. ijbra, 3(1):65-85, 2007. [doi]

Clustering large software systems at multiple layersBill Andreopoulos, Aijun An, Vassilios Tzerpos, Xiaogang Wang. INFSOF, 49(3):244-254, 2007. [doi]

Translation and Rotation Invariant Mining of Frequent Trajectories: Application to Protein Unfolding PathwaysAlexander Andreopoulos, Bill Andreopoulos, Aijun An, Xiaogang Wang. pakdd 2007: 174-185 [doi]

Hierarchical Density-Based Clustering of Categorical Data and a SimplificationBill Andreopoulos, Aijun An, Xiaogang Wang. pakdd 2007: 11-22 [doi]

Personalized recommendation with adaptive mixture of markov modelsYang Liu, Xiangji Huang, Aijun An. jasis, 58(12):1851-1870, 2007. [doi]

ARSA: a sentiment-aware model for predicting sales performance using blogsYang Liu, Xiangji Huang, Aijun An, Xiaohui Yu. sigir 2007: 607-614 [doi]

Transitional Patterns and Their Significant MilestonesQian Wan, Aijun An. icdm 2007: 691-696 [doi]

Fast Counting with AV-Space for Efficient Rule InductionLinyan Wang, Aijun An. sdm 2007: [doi]

2006

Hierarchical grouping of association rules and its application to a real-world domainAijun An, Shakil M. Khan, Xiangji Huang. ijsysc, 37(13):867-878, 2006. [doi]

Bi-level clustering of mixed categorical and numerical biomedical dataBill Andreopoulos, Aijun An, Xiaogang Wang. ijdmb, 1(1):19-56, 2006. [doi]

York University at TREC 2006: Enterprise Email Discussion SearchYu Fan, Xiangji Huang, Aijun An. trec 2006: [doi]

A platform for Okapi-based contextual information retrievalXiangji Huang, Miao Wen, Aijun An, Yan Rui Huang. sigir 2006: 728 [doi]

Applying Data Mining to Pseudo-Relevance Feedback for High Performance Text RetrievalXiangji Huang, Yan Rui Huang, Miao Wen, Aijun An, Yang Liu, Josiah Poon. icdm 2006: 295-306 [doi]

Applying language modeling to session identification from database trace logsXiangji Huang, Qingsong Yao, Aijun An. kais, 10(4):473-504, 2006. [doi]

Boosting Prediction Accuracy on Imbalanced Datasets with SVM EnsemblesYang Liu, Aijun An, Xiangji Huang. pakdd 2006: 107-118 [doi]

Efficient indirect association discovery using compact transaction databasesQian Wan, Aijun An. grc 2006: 154-159 [doi]

An efficient approach to mining indirect associationsQian Wan, Aijun An. jiis, 27(2):135-158, 2006. [doi]

Mining and Modeling Database User Access PatternsQingsong Yao, Aijun An, Xiangji Huang. ismis 2006: 493-503 [doi]

2005

Clustering mixed numerical and low quality categorical data: significance metrics on a yeast exampleBill Andreopoulos, Aijun An, Xiaogang Wang. iqis 2005: 87-98 [doi]

Multiple Layer Clustering of Large Software SystemsBill Andreopoulos, Aijun An, Vassilios Tzerpos, Xiaogang Wang. wcre 2005: 79-88 [doi]

York University at TREC 2005: SPAM TrackWei Cao, Aijun An, Xiangji Huang. trec 2005: [doi]

Representing UML Snowflake Diagram from Integrating XML Data Using XML SchemaYu Li, Aijun An. deec 2005: 103-111 [doi]

Compact transaction database for efficient frequent pattern miningQian Wan, Aijun An. grc 2005: 652-659 [doi]

York University at TREC 2005: HARD TrackMiao Wen, Xiangji Huang, Aijun An, Yan Rui Huang. trec 2005: [doi]

Finding and Analyzing Database User SessionsQingsong Yao, Aijun An, Xiangji Huang. dasfaa 2005: 851-862 [doi]

A Distance-Based Algorithm for Clustering Database User SessionsQingsong Yao, Aijun An, Xiangji Huang. ismis 2005: 562-572 [doi]

A Machine Learning Approach to Identifying Database Sessions Using Unlabeled DataQingsong Yao, Xiangji Huang, Aijun An. dawak 2005: 254-264 [doi]

Evaluation and automatic selection of methods for handling missing dataYing Zou, Aijun An, Xiangji Huang. grc 2005: 728-733 [doi]

2004

2003

2002

2001

Comparisons of Classification Methods for Screening Potential CompoundsAijun An, Yuanyuan Wang. icdm 2001: 11-18 [doi]

Rule Quality Measures for Rule Induction Systems: Description and EvaluationAijun An, Nick Cercone. ci, 17(3):409-424, 2001.

A Case Study for Learning from Imbalanced Data SetsAijun An, Nick Cercone, Xiangji Huang. ai 2001: 1-15 [doi]

2000

Rule Quality Measures Improve the Accuracy of Rule Induction: An Experimental ApproachAijun An, Nick Cercone. ismis 2000: 119-129 [doi]

CViz: An Interactive Visualization System for Rule InductionJianchao Han, Aijun An, Nick Cercone. ai 2000: 214-226 [doi]

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

1999

1998

ELEM2: A Learning System for More Accurate ClassificationsAijun An, Nick Cercone. ai 1998: 426-441

1997

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

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

1994

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