- Growing Decision Trees On Support-Less Association National University of
- Submission to IEEE TKDE April 10, 2003 Mining Constrained Gradients in Large Databases
- Top-Down Specialization for Information and Privacy Preservation Benjamin C. M. Fung
- Template-Based Privacy Preservation in Classification Problems Simon Fraser University
- Privacy-Preserving Frequent Pattern Mining Across Private Databases Ada Wai-Chee Fu, Raymond Chi-Wing Wong
- Discovering Structural Association of Semistructured Data School of Computing Science
- Mining Frequent Itemsets Using Support Constraints Ke Wang Yu He Jiawei Han
- Some Positive Results for Boundedness of Multiple Recursive Rules
- Mining Frequent Item Sets by Opportunistic Projection Junqiang Liu Yunhe Pan
- Frequent-Subsequence-Based Prediction of Outer Membrane Proteins *
- Anonymizing Sequential Releases School of Computing Science
- Computing Join Aggregates 1 Running Head: COMPUTING JOIN AGGREGATES
- Selecting Features by Vertical Compactness of Data Ke Wang and Suman Sundaresh
- WEAKLY INDEPENDENT DATABASE SCHEMES Department of Information Systems and Computer Science
- Efficiently Mining Frequent Closed Partial Orders (Extended Abstract) Haixun Wang3
- Mining Customer Value: From Association Rules to Direct Marketing Simon Fraser University
- OrthoCluster: A New Tool for Mining Synteny Blocks and Applications in Comparative Genomics
- Concurrent Discretization of Multiple Attributes Ke Wang and Bing Liu
- RecTree: An Efficient Collaborative Filtering Method Sonny Han Seng Chee, Jiawei Han, Ke Wang
- Mining Changes of Classification by Correspondence Tracing Senqiang Zhou
- Anonymizing Transaction Data by Integrating Suppression and Generalization
- E cient Computation of Iceberg Cubes with Complex Measures Jiawei Hany Jian Peiy Guozhu Dongz Ke Wangy
- MINING IS-PART-OF ASSOCIATION PATTERNS FROM SEMISTRUCTURED DATA
- Divide-and-Approximate: A Novel Constraint Push Strategy for Iceberg Cube Mining
- AN EFFECTIVE CLUSTERING APPROACH TO WEB QUERY LOG ANONYMIZATION
- Global Privacy Guarantee in Serial Data Publishing Raymond Chi-Wing Wong1, Ada Wai-Chee Fu2, Jia Liu2, Ke Wang3, Yabo Xu3
- Incremental Discovery of Sequential Patterns Department of Information Systems and Computer Science
- Privacy-Preserving Data Mashup Noman Mohammed Benjamin C. M. Fung Ke Wang
- Summarizing Review Scores of "Unequal" Reviewers Hady W. Lauw
- Classification Spanning Private Databases , Rong She+
- Fine-Grain Perturbation for Privacy Preserving Data Rhonda Chaytor, Ke Wang
- Discovering Patterns from Large and Dynamic Sequential Data Department of Information Systems and Computer Science
- Mining Actionable Patterns by Role Models Simon Fraser University
- Clustering Transactions Using Large Items Ke Wang Chu Xu Bing Liu
- User-De ned Association Mining Ke Wang1 and Yu He2
- jiyi.chen@bchydro.com, adriel.lau@bchydro.com, wen.yuan.li@bchydro.com, wangk@cs.sfu.ca Load Analyzer a Software Tool for Load Data Analysis
- Privacy-Preserving Data Publishing: A Survey of Recent Developments
- Probabilistic Inference Protection on Anonymized Data Raymond Chi-Wing Wong1
- Small Domain Randomization: Same Privacy, More Utility Rhonda Chaytor, Ke Wang
- On Optimal Anonymization for l+ Junqiang Liu#*
- On Mining Rating Dependencies in Online Collaborative Rating Networks
- Privacy-Preserving Data Publishing for Cluster Analysis
- Privacy-Enhancing Personalized Web Search Simon Fraser University
- To appear in IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 2007 1 Anonymizing Classification Data for Privacy
- Direct Marketing When There Are Voluntary Buyers Yi-Ting Lai and Ke Wang Daymond Ling, Hua Shi, and Jason Zhang
- Bias and Controversy: Beyond the Statistical Deviation Hady W. Lauw
- Localization Site Prediction for Membrane Proteins by Integrating Rule and SVM Classification
- Mining Customer Value: From Association Rules to Direct Marketing Simon Fraser University
- Pushing Feature Selection ahead of Join Rong She, Ke Wang, Yabo Xu
- Web-log Cleaning for Constructing Sequential Classifiers Computer Science Department, Hong Kong University of Science and Technology, Clearwater
- Pushing Aggregate Constraints by Divide-and-Approximate Simon Fraser University
- Profit Mining: From Patterns to Actions , Senqiang Zhou1
- Mining Confident Rules Without Support Requirement Simon Fraser University
- Classification Pruning for Web-request Prediction Ian TianYi Li
- Hierarchical Classi cation of Real Life
- Building Hierarchical Classi ers Using Class Proximity Ke Wang Senqiang Zhou Shiang Chen Liew
- Visually Aided Exploration of Interesting Association Rules
- P-Tree: A B-Tree Index for Lists Beng Chin Ooi
- Mining Nested Association Patterns Huiqing Liu
- Minimum Splits Based Discretization for Continuous Features Ke Wang and Han Chong Goh
- Schema Discovery for Semistructured Data Ke Wang Huiqing Liu
- Data Mining for Inventory Item Selection with Cross-Selling Considerations
- Integrating Private Databases for Data Analysis , Benjamin C. M. Fung1
- Bottom-Up Generalization: A Data Mining Solution to Privacy Protection Simon Fraser University
- Interestingness-Based Interval Merger for Numeric Association Rules Ke Wang and Soon Hock William Tay and Bing Liu
- IEEE TRANSACTIONS ON SMART GRID, VOL. 1, NO. 2, SEPTEMBER 2010 213 Automated Load Curve Data Cleansing
- Online Anonymity for Personalized Web Services , Guoliang Yang3
- Building Association-Rule Based Sequential Classifiers for Web-document Qiang Yang (contact author)
- Scalable Sequential Pattern Mining for Biological Simon Fraser University
- Mining Patterns That Respond to Actions Yuelong Jiang and Ke Wang
- MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations Raymond Chi-Wing Wong, Ada Wai-Chee Fu
- Mining Unexpected Rules by Pushing User Dynamics Simon Fraser University
- An Efficient Evaluation of A Fuzzy Equi--Join Using Fuzzy Equality Indicators
- Building Decision Trees on Records Linked through Key References Philip S. Yu
- Mining Association Rules from Stars Eric Ka Ka Ng , Ada Wai-Chee Fu , Ke Wang+
- Detecting Data Inconsistency for Multidatabases Ke Wang Weining Zhang
- Pushing Support Constraints Into Association Rules Mining Simon Fraser University
- Discovering Frequent Substructures from Hierarchical
- QUICK -A Graphical User Interface to Genome Multidatabases
- Indexed Step-Wise Semi-Naive Evaluation for Recursive Queries
- Parallel Learning to Rank for Information Retrieval Shuaiqiang Wang
- CCRank: Parallel Learning to Rank with Cooperative Coevolution Shuaiqiang Wang1,2
- Privacy Risk In Graph Stream Publishing For Social Network Data Nigel Medforth
