Selected Publications
(from 60+ papers)
- J. Li, P. Zhang, Y. Cao, P. Liu and L.Guo, "Efficient Behavior Targeting Using SVM
Ensemble Indexing". In Proceedings of the 12th IEEE International Conference on Data Mining (ICDM-12),
December 10-13, 2012, Brussels, Belgium [code] [ppt]
- P.
Wang, P. Zhang, and L. Guo, "Minining Multi-label Data
Streams Using Ensemble-based Active Learning ". In Proceedings of the 2012 SIAM
International Conference on Data Mining (SDM-12), Anaheim,
California, USA.
- P.
Zhang, J. Li, P.
Wang, B. Gao, X. Zhu, and L. Guo, "Enabling Fast Prediction for
Ensemble Models on Data Streams". In Proceedings of the 17th ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining (KDD-11), August
21-24, 2011, San Diego, CA, USA. [pdf][code][ppt]
- P. Zhang , B. Gao, X.
Zhu, and L. Guo, "Enabling Fast Lazy Learning for Data
Streams". In Proceedings
of the 11th IEEE International Conference on Data Mining (ICDM-11), December
11-14, 2011, Vancouver, Canada.
- J. Guo, P. Zhang, J. Tan, and L. Guo. Mining Frequent Patterns across Multiple Data Streams. In Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM-11), October 24-28, 2011, Glasgow, Scotland, UK.
- J. Li, P. Zhang, J. Tan, P. Liu, and L. Guo, Continuous Data Stream Query in the Cloud. In Proceedings of the 20th ACM International Conference on Information and Knowledge Management (CIKM-11), October 24-28, 2011, Glasgow, Scotland, UK.
- P. Zhang, X. Zhu, J. Tan, and L. Guo, "Classifier and Cluster Ensembles for Mining Concept Drifting Data Streams". In Proceedings of the 10th IEEE International Conference on Data Mining (ICDM-10), Sydney, Australia, December 14-17, 2010, pages: 1175-1180.
- P. Zhang, X. Zhu, J. Tan, and L. Guo, "SKIF: A Data Imputation Framework for Concept Drifting Data Streams". In Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM-10), Toronto, Ontario, Canada, October 26-31, pages: 1869-1872.
- P. Zhang, X. Zhu, and L. Guo, "Mining Data Streams with Labeled and Unlabeled Training Examples". In Proceedings of the 9th IEEE International Conference on Data Mining (ICDM-09), Miami, Florida, USA, December 6-9, 2009, pages: 627-636.
- X. Zhou, W. Jiang, Y. Tian, P. Zhang, G. Nie, and Y. Shi, "A New Kernel-based Classification Algorithm". In Proceedings of the 9th IEEE International Conference on Data Mining (ICDM-09), Miami, Florida, USA, December 6-9, 2009, pages: 1094-1099.
- P. Zhang, X. Zhu, Y. Shi, and X. Wu, "An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise". In Proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-09), Bangkok, Thailand, April 27-30, 2009, pages: 1021-1029.
- P. Zhang, X. Zhu, and Y. Shi, "Categorizing and Mining Concept Drifting Data Streams". In Proceedings of the 14th ACM international conference on Knowledge Discovery and Data mining (KDD-08), Las Vegas, Nevada, USA, August 24-27, 2008, pages: 812-820.
- X. Zhu, P. Zhang, X.Wu, D. He, C. Zhang, and Y. Shi, "Cleansing Noisy Data Streams". In Proceedings of the 8th IEEE International Conference on Data Mining (ICDM-08), Pisa, Italy, December 15-19, 2008, pages: 1139-1144.
- X. Zhu, P. Zhang, X. Lin and Y. Shi, "Active Learning from Data Streams". In Proceedings of the 7th IEEE International Conference on Data Mining (ICDM-07), Omaha, Nebraska, USA, October 28-31, 2007, pages: 757-762.
- P. Zhang, B. Gao, P. Liu, Y. Shi, and L. Guo, "A Framework for Application-Driven Classification of Data Streams". Neurocomputing, 2012. (SCI)
- P. Zhang, X. Zhu, Y. Shi, L. Guo, and X. Wu, "Robust Ensemble Learning for Mining Noisy Data Streams". Decision Support Systems, Vol. 50(2), 2011, pages: 469-479. (SCI)
- X. Zhu, P. Zhang, X. Lin, Y. Shi, "Active Learning from Stream Data Using Optimal Weight Classifier Ensemble". IEEE Transactions on System, Man, Cybernetics, Part B, Vol. 40 (6), 2010, pages: 1607- 1621. (SCI)
- P. Zhang, X. Zhu, Z. Zhang, and Y. Shi, "Multiple Criteria Programming for VIP Email Behavior Analysis". Web Intelligence and Agent Systems: An International Journal, Vol. 8(1), 2010, pages: 69-78. (EI)
- J. Zhang, Y. Shi, and P. Zhang, "Several Multi-criteria Programming Methods for Classification". Computers and Operations Research , Vol. 36(3), 2009, pages: 823-836. (SCI)
- Y. Shi, Y. Tian, X. Chen, and P. Zhang, "Regularized Multiple Criteria Linear Programs for Classification". Science in China Series F: Information Sciences, Vol. 52(10), 2009, pages: 1812-1820. (SCI)
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