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Author:
Wei Wang 0010: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Wei Wang, Jiong Yang, Richard R. Muntz
    STING: A Statistical Information Grid Approach to Spatial Data Mining. [Citation Graph (9, 9)][DBLP]
    VLDB, 1997, pp:186-195 [Conf]
  2. Jiong Yang, Haixun Wang, Wei Wang, Philip S. Yu
    Enhanced Biclustering on Expression Data. [Citation Graph (0, 0)][DBLP]
    BIBE, 2003, pp:321-327 [Conf]
  3. Xiang Zhang, Wei Wang
    Mining coherent patterns from heterogeneous microarray data. [Citation Graph (0, 0)][DBLP]
    CIKM, 2006, pp:838-839 [Conf]
  4. Jun Huan, Jan Prins, Wei Wang, Todd J. Vision
    Reconstruction of Ancestral Gene Order after Segmental Duplication and Gene Loss. [Citation Graph (0, 0)][DBLP]
    CSB, 2003, pp:484-485 [Conf]
  5. Jinze Liu, Wei Wang, Jiong Yang
    Gene Ontology Friendly Biclustering of Expression Profiles. [Citation Graph (0, 0)][DBLP]
    CSB, 2004, pp:436-447 [Conf]
  6. Jinze Liu, Jiong Yang, Wei Wang
    Biclustering in Gene Expression Data by Tendency. [Citation Graph (0, 0)][DBLP]
    CSB, 2004, pp:182-193 [Conf]
  7. Jiong Yang, Wei Wang
    Towards Automatic Clustering of Protein Sequences. [Citation Graph (0, 0)][DBLP]
    CSB, 2002, pp:175-186 [Conf]
  8. Jiong Yang, Wei Wang, Yi Xia, Philip S. Yu
    Accelerating Approximate Subsequence Search on Large Protein Sequence Databases. [Citation Graph (0, 0)][DBLP]
    CSB, 2002, pp:207-0 [Conf]
  9. Hwanjo Yu, Jiong Yang, Wei Wang, Jiawei Han
    Discovering Compact and Highly Discriminative Features or Feature Combinations of Drug Activities Using Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    CSB, 2003, pp:220-228 [Conf]
  10. Dean Duncan, Hye-Chung Kum, Kimberly Flair, Wei Wang
    Adopting IT for Effective Management of Social Welfare Programs. [Citation Graph (0, 0)][DBLP]
    DG.O, 2004, pp:- [Conf]
  11. Dean Duncan, Hye-Chung Kum, Kimberly Flair, Wei Wang
    Successfully Adopting IT for Social Welfare Program Management. [Citation Graph (0, 0)][DBLP]
    DG.O, 2004, pp:- [Conf]
  12. Hye-Chung (Monica) Kum, Dean Duncan, Kimberly Flair, Wei Wang
    Management Assistance for Work First via a Dynamic Website. [Citation Graph (0, 0)][DBLP]
    DG.O, 2003, pp:- [Conf]
  13. Hye-Chung (Monica) Kum, Dean Duncan, Kimberly Flair, Wei Wang
    Social Welfare Program Administration and Evaluation and Policy Analysis Using Knowledge Discovery and Data Mining (KDD) on Administrative Data. [Citation Graph (0, 0)][DBLP]
    DG.O, 2003, pp:- [Conf]
  14. Hye-Chung Kum, Dean Duncan, Wei Wang
    Understanding Social Welfare Service Patterns Using Sequential Analysis. [Citation Graph (0, 0)][DBLP]
    DG.O, 2004, pp:- [Conf]
  15. Wei Wang, Jiong Yang, Richard R. Muntz
    PK-tree: A Spatial Index Structure for High Dimensional Point Data. [Citation Graph (0, 0)][DBLP]
    FODO, 1998, pp:27-36 [Conf]
  16. Jiong Yang, Wei Wang, Richard R. Muntz, Silvia Nittel
    Dynamic Adaptive File Management in a Local Area Network. [Citation Graph (0, 0)][DBLP]
    ICDCS, 2000, pp:368-375 [Conf]
  17. Weiyi Meng, Clement T. Yu, Wei Wang, Naphtali Rishe
    Performance Analysis of Several Algorithms for Processing Joins between Textual Attributes. [Citation Graph (0, 12)][DBLP]
    ICDE, 1996, pp:636-644 [Conf]
  18. Wei Wang, Jiong Yang
    A Framework Towards Efficient and Effective Sequence Clusterin. [Citation Graph (0, 0)][DBLP]
    ICDE, 2002, pp:282- [Conf]
  19. Wei Wang, Jiong Yang, Richard R. Muntz
    TAR: Temporal Association Rules on Evolving Numerical Attributes. [Citation Graph (0, 0)][DBLP]
    ICDE, 2001, pp:283-292 [Conf]
  20. Wei Wang, Jiong Yang, Richard R. Muntz
    STING+: An Approach to Active Spatial Data Mining. [Citation Graph (0, 18)][DBLP]
    ICDE, 1999, pp:116-125 [Conf]
  21. Xin Xu, Ying Lu, Anthony K. H. Tung, Wei Wang
    Mining Shifting-and-Scaling Co-Regulation Patterns on Gene Expression Profiles. [Citation Graph (0, 0)][DBLP]
    ICDE, 2006, pp:89- [Conf]
  22. Jiong Yang, Wei Wang
    CLUSEQ: Efficient and Effective Sequence Clustering. [Citation Graph (0, 0)][DBLP]
    ICDE, 2003, pp:101-112 [Conf]
  23. Jiong Yang, Wei Wang, Haixun Wang, Philip S. Yu
    delta-Clusters: Capturing Subspace Correlation in a Large Data Set. [Citation Graph (0, 0)][DBLP]
    ICDE, 2002, pp:517-528 [Conf]
  24. Jun Huan, Wei Wang, Jan Prins
    Efficient Mining of Frequent Subgraphs in the Presence of Isomorphism. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:549-552 [Conf]
  25. Feng Pan, Wei Wang, Anthony K. H. Tung, Jiong Yang
    Finding Representative Set from Massive Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:338-345 [Conf]
  26. Jinze Liu, Susan Paulsen, Wei Wang, Andrew B. Nobel, Jan Prins
    Mining Approximate Frequent Itemsets from Noisy Data. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:721-724 [Conf]
  27. Jinze Liu, Karl Strohmaier, Wei Wang
    Revealing True Subspace Clusters in High Dimensions. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:463-466 [Conf]
  28. Jinze Liu, Wei Wang
    OP-Cluster: Clustering by Tendency in High Dimensional Space. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:187-194 [Conf]
  29. Wei Wang, Jiong Yang, Philip S. Yu
    Meta-patterns: Revealing Hidden Periodic Patterns. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:550-557 [Conf]
  30. Jiong Yang, Wei Wang
    AGILE: A General Approach to Detect Transitions in Evolving Data Streams. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:559-562 [Conf]
  31. Jiong Yang, Wei Wang, Philip S. Yu
    InfoMiner+: Mining Partial Periodic Patterns with Gap Penalties. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:725-728 [Conf]
  32. Jun Huan, Wei Wang, Jan Prins, Jiong Yang
    SPIN: mining maximal frequent subgraphs from graph databases. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:581-586 [Conf]
  33. Jinze Liu, Wei Wang, Jiong Yang
    A framework for ontology-driven subspace clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:623-628 [Conf]
  34. Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan Prins
    Clustering pair-wise dissimilarity data into partially ordered sets. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:637-642 [Conf]
  35. Jiong Yang, Wei Wang, Philip S. Yu
    Mining asynchronous periodic patterns in time series data. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:275-279 [Conf]
  36. Jiong Yang, Wei Wang, Philip S. Yu
    Infominer: mining surprising periodic patterns. [Citation Graph (0, 0)][DBLP]
    KDD, 2001, pp:395-400 [Conf]
  37. Wen Jin, Anthony K. H. Tung, Jiawei Han, Wei Wang
    Ranking Outliers Using Symmetric Neighborhood Relationship. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2006, pp:577-593 [Conf]
  38. Jiong Yang, Silvia Nittel, Wei Wang, Richard R. Muntz
    DynamO: Dynamic Objects with Persistent Storage. [Citation Graph (0, 0)][DBLP]
    POS/PJW, 1998, pp:199-214 [Conf]
  39. Jun Huan, Wei Wang, Anglina Washington, Jan Prins, Ruchir Shah, Alexander Tropsha
    Accurate Classification of Protein Structural Families Using Coherent Subgraph Analysis. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2004, pp:411-422 [Conf]
  40. Jun Huan, Wei Wang, Deepak Bandyopadhyay, Jack Snoeyink, Jan Prins, Alexander Tropsha
    Mining protein family specific residue packing patterns from protein structure graphs. [Citation Graph (0, 0)][DBLP]
    RECOMB, 2004, pp:308-315 [Conf]
  41. Hye-Chung Kum, Jian Pei, Wei Wang, Dean Duncan
    ApproxMAP: Approximate Mining of Consensus Sequential Patterns. [Citation Graph (0, 0)][DBLP]
    SDM, 2003, pp:- [Conf]
  42. Jinze Liu, Susan Paulsen, Xing Sun, Wei Wang, Andrew B. Nobel, Jan Prins
    Mining Approximate Frequent Itemsets In the Presence of Noise: Algorithm and Analysis. [Citation Graph (0, 0)][DBLP]
    SDM, 2006, pp:- [Conf]
  43. Yi Xia, Wei Wang, Jiong Yang, Philip S. Yu, Richard R. Muntz
    Efficient Filtering of Large DatasetA User-Centric Paradigm. [Citation Graph (0, 0)][DBLP]
    SDM, 2002, pp:- [Conf]
  44. Jiong Yang, Wei Wang, Philip S. Yu
    STAMP: On Discovery of Statistically Important Pattern Repeats in Long Sequential Data. [Citation Graph (0, 0)][DBLP]
    SDM, 2003, pp:- [Conf]
  45. Guodong Liu, Jingdan Zhang, Wei Wang, Leonard McMillan
    Human motion estimation from a reduced marker set. [Citation Graph (0, 0)][DBLP]
    SI3D, 2006, pp:35-42 [Conf]
  46. Jiong Yang, Wei Wang, Richard R. Muntz
    Collaborative Web caching based on proxy affinities. [Citation Graph (0, 0)][DBLP]
    SIGMETRICS, 2000, pp:78-89 [Conf]
  47. Naga K. Govindaraju, Brandon Lloyd, Wei Wang, Ming C. Lin, Dinesh Manocha
    Fast Computation of Database Operations using Graphics Processors. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2004, pp:215-226 [Conf]
  48. Guodong Liu, Jingdan Zhang, Wei Wang, Leonard McMillan
    A system for analyzing and indexing human-motion databases. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2005, pp:924-926 [Conf]
  49. Haixun Wang, Wei Wang, Jiong Yang, Philip S. Yu
    Clustering by pattern similarity in large data sets. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2002, pp:394-405 [Conf]
  50. Jiong Yang, Wei Wang, Philip S. Yu, Jiawei Han
    Mining long sequential patterns in a noisy environment. [Citation Graph (0, 0)][DBLP]
    SIGMOD Conference, 2002, pp:406-417 [Conf]
  51. Jiong Yang, Wei Wang, Philip S. Yu
    BASS: Approximate Search on Large String Databases. [Citation Graph (0, 0)][DBLP]
    SSDBM, 2004, pp:181-0 [Conf]
  52. Jun Huan, Jan Prins, Wei Wang
    Local Structure Comparison of Proteins. [Citation Graph (0, 0)][DBLP]
    Advances in Computers, 2006, v:68, n:, pp:180-255 [Journal]
  53. Hye-Chung Kum, Joong Hyuk Chang, Wei Wang
    Sequential Pattern Mining in Multi-Databases via Multiple Alignment. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2006, v:12, n:2-3, pp:151-180 [Journal]
  54. Jiong Yang, Wei Wang, Philip S. Yu
    Mining Surprising Periodic Patterns. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2004, v:9, n:2, pp:189-216 [Journal]
  55. Hye-Chung Kum, Joong Hyuk Chang, Wei Wang
    Benchmarking the effectiveness of sequential pattern mining methods. [Citation Graph (0, 0)][DBLP]
    Data Knowl. Eng., 2007, v:60, n:1, pp:30-50 [Journal]
  56. Feng Pan, Wei Wang, Leonard McMillan
    Accelerating Profile Queries in Elevation Maps. [Citation Graph (0, 0)][DBLP]
    ICDE, 2007, pp:76-85 [Conf]
  57. David W. Williams, Jun Huan, Wei Wang
    Graph Database Indexing Using Structured Graph Decomposition. [Citation Graph (0, 0)][DBLP]
    ICDE, 2007, pp:976-985 [Conf]
  58. Hye-Chung Kum, Joong Hyuk Chang, Wei Wang
    Intelligent Sequential Mining Via Alignment: Optimization Techniques for Very Large DB. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2007, pp:587-597 [Conf]
  59. Jinze Liu, Qi Zhang, Wei Wang, Leonard McMillan, Jan Prins
    PoClustering: Lossless Clustering of Dissimilarity Data. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  60. Xiang Zhang, Wei Wang, Jun Huan
    On Demand Phenotype Ranking through Subspace Clustering. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  61. Xueyi Wang, Jun Huan, Jack Snoeyink, Wei Wang
    Mining RNA Tertiary Motifs with Structure Graphs. [Citation Graph (0, 0)][DBLP]
    SSDBM, 2007, pp:31- [Conf]
  62. Qi Zhang, Wei Wang
    A Fast Algorithm for Approximate Quantiles in High Speed Data Streams. [Citation Graph (0, 0)][DBLP]
    SSDBM, 2007, pp:29- [Conf]

  63. REDUS: finding reducible subspaces in high dimensional data. [Citation Graph (, )][DBLP]


  64. Approximate Clustering on Distributed Data Streams. [Citation Graph (, )][DBLP]


  65. Mining Approximate Order Preserving Clusters in the Presence of Noise. [Citation Graph (, )][DBLP]


  66. A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition. [Citation Graph (, )][DBLP]


  67. Incremental Subspace Clustering over Multiple Data Streams. [Citation Graph (, )][DBLP]


  68. Sample Selection for Maximal Diversity. [Citation Graph (, )][DBLP]


  69. Quantitative Association Analysis Using Tree Hierarchies. [Citation Graph (, )][DBLP]


  70. Inferring missing genotypes in large SNP panels using fast nearest-neighbor searches over sliding windows. [Citation Graph (, )][DBLP]


  71. Fastanova: an efficient algorithm for genome-wide association study. [Citation Graph (, )][DBLP]


  72. COE: A General Approach for Efficient Genome-Wide Two-Locus Epistasis Test in Disease Association Study. [Citation Graph (, )][DBLP]


  73. CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition. [Citation Graph (, )][DBLP]


  74. Split-Order Distance for Clustering and Classification Hierarchies. [Citation Graph (, )][DBLP]


  75. Genotype Sequence Segmentation: Handling Constraints and Noise. [Citation Graph (, )][DBLP]


  76. Functional Neighbors: Inferring Relationships between Non-Homologous Protein Families Using Family-Specific Packing Motifs. [Citation Graph (, )][DBLP]


  77. Efficient genome ancestry inference in complex pedigrees with inbreeding. [Citation Graph (, )][DBLP]


  78. TEAM: efficient two-locus epistasis tests in human genome-wide association study. [Citation Graph (, )][DBLP]


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