- Mining surprising periodic patterns,
by Jiong Yang, Wei Wang, and Philip Yu.
Data Mining and Knowledge Discovery (DMKD), vol. 9, no. 2, pp. 189-216, 2004.
- Discovering high order periodic patterns,
by Jiong Yang, Wei Wang, and Philip Yu. Knowledge and Information Systems Journal (KAIS), vol. 6, no. 3, pp. 243-268, 2004.
- WAR: weighted association rules for item intensities,
by Wei Wang, Jiong Yang, and Philip Yu. Knowledge and Information Systems Journal (KAIS), vol. 6, no. 2, pp. 203-229, 2004.
- Revealing true subspace clusters in high dimensions, by Jinze Liu, Karl Strohmaier, and Wei Wang.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM), pp. 463-466, 2004.
- AGILE: a general approach to detect transitions in evolving data streams, by Jiong Yang and Wei Wang,
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM), pp. 559-562, 2004.
- A framework for ontology-driven subspace clustering,
by Jinze Liu, Wei Wang, and Jiong Yang.
Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 623-628, 2004.
- SPIN: Mining maximal frequent subgraphs from graph databases,
by Jun Huan, Wei Wang, Jan Prins, and Jiong Yang.
Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 581-586, 2004.
- Gene ontology friendly biclustering of expression profiles,
by Jinze Liu, Jiong Yang, and Wei Wang.
Proceedings of the IEEE Computational Systems Bioinformatics Conference (CSB), pp. 436-447, 2004.
- Biclustering of gene expression data by tendency,
by Jinze Liu, Jiong Yang, and Wei Wang.
Proceedings of the IEEE Computational Systems Bioinformatics Conference (CSB), pp. 182-193, 2004.
- BASS: approximate search on large string databases,
by Jiong Yang, Wei Wang, and Philip Yu.
Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM), pp. 181-192, 2004.
- Fast computation of database operations using graphics processors,
by Naga Govindaraju, Brandon Lloyd, Wei Wang, Ming Lin, and Dinesh Manocha.
Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 215-226, 2004.
- Understanding social welfare service patterns using sequential analysis, by Hye-Chung Kum, Dean Duncan, and Wei Wang. Proceedings of the NSF National Conference on Digital Government Research (DG.O), 2004.
- Successfully adopting IT for social welfare program management, by Dean Duncan, Hye-Chung Kum, Kimberly Flair, and Wei Wang. Proceedings of the NSF National Conference on Digital Government Research (DG.O), 2004.
- Successfully adopting IT for social welfare program management (demo), by Dean Duncan, Hye-Chung Kum, Kimberly Flair, and Wei Wang. Proceedings of the NSF National Conference on Digital Government Research (DG.O), 2004.
- Mining spatial motifs from protein structure graphs, by Jun Huan, Wei Wang, Deepak Bandyopadhyay, Jack Snoeyink, Jan Prins, and Alex Tropsha.
Proceedings of the 8th Annual International Conference on Research in Computational Molecular Biology (RECOMB), pp. 308-315, 2004.
- Accurate classification of protein structural families using coherent subgraph
analysis, by Jun Huan, Wei Wang, Anglina Washington, Jan Prins, Ruchir Shah, and Alex Tropsha.
Proceedings of the Pacific Symposium on Biocomputing (PSB), pp. 411-422, 2004.
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