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Research Activities

Bioinformatics Mining Sequential Data Mining Structural Data Mining High Dimensional Data Web Caching Object Management Text Database List of Publications from the DBLP Bibliography

Research on Bioinformatics ...

Publications Refereed Papers 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. OP-Cluster: clustering by tendency in high dimensional space, by Jinze Liu and Wei Wang. Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM), pp. 187-194, 2003. Efficient mining of frequent subgraph in the presence of isomorphism, by Jun Huan, Wei Wang, and Jan Prins. Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM), pp. 549-552, 2003. Discovering compact and highly discriminative features or feature combinations of drug activities using support vector machines, by Hwanjo Yu, Jiong Yang, Wei Wang, and Jiawei Han. Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB), pp. 220-228, 2003. Reconstructing of ancestral gene order after segmental duplication and gene loss, by Jun Huan, Jan Prins, Wei Wang, and Todd Vision. Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB), pp. 484-485, 2003. STAMP: discovery of statistically important pattern repeats in a long sequence, by Jiong Yang, Wei Wang, and Philip Yu. Proceedings of the 3rd SIAM International Conference on Data Mining (SDM), pp. 224-238, 2003. Enhanced biclustering on gene expression data, by Jiong Yang, Haixun Wang, Wei Wang, and Philip Yu. Proceedings of the 3rd IEEE Conference on Bioinformatics and Bioengineering (BIBE), pp. 321-327, 2003. CLUSEQ: efficient and effective sequence clustering, by Jiong Yang and Wei Wang. Proceedings of the 19th IEEE International Conference on Data Engineering (ICDE), pp. 101-112, 2003. Towards automatic clustering of protein sequences, by Jiong Yang and Wei Wang. Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB), pp. 175-186, 2002. Accelerating approximate subsequence search on large protein sequence databases, by Jiong Yang, Wei Wang, Yi Xia, and Philip Yu. Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB), pp. 207-218, 2002. Clustering by pattern similarity in large data sets, by Haixun Wang, Wei Wang, Jiong Yang, and Philip Yu. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 394-405, 2002. Accelerating search of approximate match on large protein sequence databases, by Wei Wang, Jiong Yang, Yi Xia, and Philip Yu. Proceedings of the 6th ACM International Conference on Research in Computational Molecular Biology (RECOMB), 2002. (poster) Improving performance of bicluster discovery in a large data set, by Jiong Yang, Wei Wang, Haixun Wang, and Philip Yu. Proceddings of the 6th ACM International Conference on Research in Computational Molecular Biology (RECOMB), 2002. (poster) A framework towards efficient and effective protein clustering, by Wei Wang and Jiong Yang. Proceddings of the 6th ACM International Conference on Research in Computational Molecular Biology (RECOMB), 2002. (poster) Efficient filtering of large data sets --- a user-centric paradigm, by Yi Xia, Wei Wang, Jiong Yang, Philip Yu, and Richard Muntz. Proceedings of the 2nd SIAM International Conference on Data Mining (SDM), pp. 112-127, 2002. Delta-cluster: capturing subspace correlation in a large data set, by Jiong Yang, Wei Wang, Haixun Wang, and Philip Yu. Proceedings of the 18th IEEE International Conference on Data Engineering (ICDE), pp. 517-528, 2002. A framework towards efficient and effective sequence clustering, by Wei Wang and Jiong Yang. Proceedings of the 18th IEEE International Conference on Data Engineering (ICDE), pp. 282, 2002.

Research on Mining Sequential Data ...

Publications Refereed Papers Mining asynchronous periodic patterns in time series data, by Jiong Yang, Wei Wang, and Philip Yu. IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 15, no. 3, pp. 613-628, 2003. Discovering high order periodic patterns, by Jiong Yang, Wei Wang, and Philip Yu. to appear in Knowledge and Information Systems Journal (KAIS), 2004. Reconstructing of ancestral gene order after segmental duplication and gene loss, by Jun Huan, Jan Prins, Wei Wang, and Todd Vision. Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB), pp. 484-485, 2003. STAMP: discovery of statistically important pattern repeats in a long sequence, by Jiong Yang, Wei Wang, and Philip Yu. Proceedings of the 3rd SIAM International Conference on Data Mining (SDM), pp. 224-238, 2003. ApproxMAP: Approximate Mining of Consensus Sequential Patterns, by Hye-Chung Kum, Jian Pei, Wei Wang, and Dean Duncan. Proceedings of the 3rd SIAM International Conference on Data Mining (SDM), pp. 311-315, 2003. CLUSEQ: efficient and effective sequence clustering, by Jiong Yang and Wei Wang. Proceedings of the 19th IEEE International Conference on Data Engineering (ICDE), pp. 101-112, 2003. InfoMiner+: mining partial periodic patterns with gap penalties, by Jiong Yang, Wei Wang, and Philip Yu. Proceedings of the 2nd IEEE International Conference on Data Mining (ICDM), pp. 725-728, 2002. Comparative study of sequential pattern mining frameworks --- support framework vs. multiple alignment framework, by Hye-Chung Kum, Susan Paulsen, and Wei Wang. Proceedings of the 2nd IEEE International Conference on Data Mining (ICDM) Workshop on the Foundation of Data Mining and Discovery, 2002. Mining long sequential patterns in a noisy environment, by Jiong Yang, Wei Wang, Philip Yu, and Jiawei Han. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 406-417, 2002. A framework towards efficient and effective sequence clustering, by Wei Wang and Jiong Yang. Proceedings of the 18th IEEE International Conference on Data Engineering, pp. 282, 2002. Meta-patterns: revealing hidden periodical patterns, by Wei Wang, Jiong Yang, and Philip Yu. Proceedings of the 1st IEEE International Conference on Data Mining (ICDM), pp. 550-557, 2001. Info-miner: mining surprising periodic patterns, by Jiong Yang, Wei Wang, and Philip Yu. Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 395-400, 2001. Mining patterns in long sequential data with noise, by Wei Wang, Jiong Yang, and Philip Yu. ACM SIGKDD Explorations, vol. 2, no. 2, pp. 28-33, 2000. Mining asynchronous periodic patterns in time series data, by Jiong Yang, Wei Wang, and Philip Yu. Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 275-279, 2000.

Research on Mining Structural Data ...

Publications Refereed Papers 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), 2004. Efficient mining of frequent subgraph in the presence of isomorphism, by Jun Huan, Wei Wang, and Jan Prins. Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM), pp. 549-552, 2003.

Research on Mining High Dimensional Data ...

Publications Refereed Papers WAR: weighted association rules for item intensities, by Wei Wang, Jiong Yang, and Philip Yu. to appear in Knowledge and Information Systems Journal (KAIS), 2004. OP-Cluster: clustering by tendency in high dimensional space, by Jinze Liu and Wei Wang. Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM), 2003. Discovering compact and highly discriminative features or feature combinations of drug activities using support vector machines, by Hwanjo Yu, Jiong Yang, Wei Wang, and Jiawei Han. Proceedings of the IEEE Computer Society Bioinformatics Conference (CSB), pp. 220-228, 2003. Enhanced biclustering on gene expression data, by Jiong Yang, Haixun Wang, Wei Wang, and Philip Yu. Proceedings of the 3rd IEEE Conference on Bioinformatics and Bioengineering (BIBE), pp. 321-327, 2003. Clustering by pattern similarity in large data sets, by Haixun Wang, Wei Wang, Jiong Yang, and Philip Yu. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pp. 394-405, 2002. Efficient filtering of large data sets --- a user-centric paradigm, by Yi Xia, Wei Wang, Jiong Yang, Philip Yu, and Richard Muntz. Proceedings of the 2nd SIAM International Conference on Data Mining (SDM), pp. 112-127, 2002. Delta-cluster: capturing subspace correlation in a large data set, by Jiong Yang, Wei Wang, Haixun Wang, and Philip Yu. Proceedings of the 18th IEEE International Conference on Data Engineering (ICDE), pp. 517-528, 2002. TAR: temporal association rules on evolving numerical attributes, by Wei Wang, Jiong Yang, and Richard Muntz. Proceedings of the 17th IEEE International Conference on Data Engineering, pp. 283-292, 2001. Efficient mining weighted association rules (WAR), by Wei Wang, Jiong Yang, and Philip Yu. Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 270-274, 2000. An approach to active spatial data mining based on statistical information, by Wei Wang, Jiong Yang, and Richard Muntz. IEEE Transactions on Knowledge and Data Engineering, vol. 12, no. 5, pp. 715-728, 2000. PK-tree: a spatial index structure for high dimensional point data, by Wei Wang, Jiong Yang, and Richard Muntz. Information Organization and Databases, Kluwer Academic Publishers, 2000. STING+: an approach to active spatial data mining, by Wei Wang, Jiong Yang, and Richard Muntz. Proceedings of the 15th IEEE International Conference on Data Engineering, pp. 116-125, Sydney, Australia, March 1999. PK-tree: a spatial index structure for high dimensional point data, by Wei Wang, Jiong Yang, and Richard Muntz. Proceedings of the 5th International Conference of Foundations of Data Organization, November 1998. STING: a statistical information grid approach to spatial data mining, by Wei Wang, Jiong Yang, and Richard Muntz. Proceedings of the 23rd IEEE International Conference on Very Large Data Bases, pp. 186-195, Athens, Greece, August 1997. Technical Reports Temporal Association Rules with Numerical Attributes, by Wei Wang, Jiong Yang, and Richard Muntz. UCLA CSD Technical Report #990011. PK-tree: a spatial index structure for high dimensional point data, by Wei Wang, Jiong Yang, and Richard Muntz. UCLA CSD Technical Report #980032. STING+: an approach to active spatial data mining, by Wei Wang, Jiong Yang, and Richard Muntz. UCLA CSD Technical Report #980031. Yet another spatial indexing structure, by Jiong Yang, Wei Wang, and Richard Muntz. UCLA CSD Technical Report #97040. PK-tree: a dynamic spatial index structure for large data sets, by Wei Wang, Jiong Yang, and Richard Muntz. UCLA CSD Technical Report #97039. STING: a statistical information grid approach to spatial data mining, by Wei Wang, Jiong Yang, and Richard Muntz. UCLA CSD Technical Report #970006. Presentations Spatial Temporal Data Mining, UCLA CSD Graduate Seminar (CS201) Presentation, March 1999. STING+: an Approach to Active Spatial Data Mining, ICDE'99 Presentation, March 1999. Spatial Temporal Data Mining, Presentation at NCR, January 1999. PK-tree: a Spatial Index Structure for High Dimensional Point Data, FODO'98 Presentation, November 1998. STING: a Statistical Information Grid Approach to Spatial Data Mining, Presentation at JPL, December 1997. STING: a Statistical Information Grid Approach to Spatial Data Mining, VLDB'97 Presentation, September 1997. Software PK-tree

Research on Web Caching ...

Publication Collaborative web caching based on proxy affinities, by Jiong Yang, Wei Wang, and Richard Muntz. Proceedings of the ACM SIGMETRICS International Conference on measurement and Modeling of Computer Systems (SIGMETRICS), pp. 78-89, 2000.

Research on Object Management ...

Publications Dynamo: design, implementation, and evaluation of cooperative persistent object management in a local area network, by Jiong Yang, Wei Wang, Silvia Nittel, Richard Muntz, and Vince Busam. Software - Practice and Experience, vol. 30, no. 4, pp. 419-448, 2000. Dynamic adaptive file management in a local area network, by Jiong Yang, Wei Wang, Richard Muntz, and Silvia Nittel. Proceedings of the 20th IEEE International Conference on Distributed Computer Systems (ICDCS), pp. 368-375, 2000. DynamO: dynamic objects with persistent storage, by Jiong Yang, Silvia Nittel, Wei Wang, and Richard Muntz. Proceedings of the 8th International Workshop on Persistent Object Systems, September 1998. DynamO: Dynamic Objects with Network Attached Persistent Stores, by Jiong Yang, Wei Wang, and Richard Muntz. UCLA CSD Technical Report #97038.

Research on Text Database ...

Publications Performance analysis of three text-join algorithms, by Weiyi Meng, Clement Yu, Wei Wang, and Naphtali Rishe. IEEE Transactions on Knowledge and Data Engineering , vol. 10, no. 3, pp. 477-492, May/June 1998. Performance analysis of several algorithms for processing joins between textual attributes, by Weiyi Meng, Clement Yu, Wei Wang, and Naphtali Rishe. Proceedings of the 12th IEEE International Conference on Data Engineering, pp. 636-644, New Orleans, Louisiana, February 1996.