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Xindong Wu: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Xingquan Zhu, Xindong Wu, Ying Yang
    Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets. [Citation Graph (0, 0)][DBLP]
    AAAI, 2004, pp:378-384 [Conf]
  2. Xindong Wu
    The HCV Induction Algorithm. [Citation Graph (0, 0)][DBLP]
    ACM Conference on Computer Science, 1993, pp:168-175 [Conf]
  3. Richard Relue, Xindong Wu, Hao Huang
    Efficient Runtime Generation of Association Rules. [Citation Graph (0, 0)][DBLP]
    CIKM, 2001, pp:466-473 [Conf]
  4. Jeffrey Stone, Xindong Wu, Marc Greenblatt
    An Intelligent Digital Library System for Biologists. [Citation Graph (0, 0)][DBLP]
    CSB, 2004, pp:491-492 [Conf]
  5. Dacheng Tao, Xuelong Li, Stephen J. Maybank, Xindong Wu
    Human Carrying Status in Visual Surveillance. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2006, pp:1670-1677 [Conf]
  6. Shichao Zhang, Xindong Wu, Jilian Zhang, Chengqi Zhang
    A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases. [Citation Graph (0, 0)][DBLP]
    DaWaK, 2005, pp:305-314 [Conf]
  7. Xindong Wu, Daniel Ngu, Sameer Pradhan
    User-Centered Agents for Structured Information Location. [Citation Graph (0, 0)][DBLP]
    E-Commerce Agents, 2001, pp:323-331 [Conf]
  8. Xindong Wu, David Urpani, James A. Sykes
    Rule Induction Without Decision Tree Construction. [Citation Graph (0, 0)][DBLP]
    ECAI, 1996, pp:463-470 [Conf]
  9. Xindong Wu
    Data Mining: Artificial Intelligence in Data Analysis. [Citation Graph (0, 0)][DBLP]
    IAT, 2004, pp:7- [Conf]
  10. Gong Chen, Xindong Wu, Xingquan Zhu
    Sequential Pattern Mining in Multiple Streams. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:585-588 [Conf]
  11. Hao Huang, Xindong Wu, Richard Relue
    Association Analysis with One Scan of Databases. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:629-632 [Conf]
  12. Dacheng Tao, Xuelong Li, Weiming Hu, Stephen J. Maybank, Xindong Wu
    Supervised Tensor Learning. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:450-457 [Conf]
  13. Xingquan Zhu, Xindong Wu
    Cost-Guided Class Noise Handling for Effective Cost-Sensitive Learning. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:297-304 [Conf]
  14. Xingquan Zhu, Xindong Wu, Ying Yang
    Dynamic Classifier Selection for Effective Mining from Noisy Data Streams. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:305-312 [Conf]
  15. Yan Zhang, Xingquan Zhu, Xindong Wu
    Corrective Classification: Classifier Ensembling with Corrective and Diverse Base Learners. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:1199-1204 [Conf]
  16. Xindong Wu, Chengqi Zhang, Shichao Zhang
    Mining Both Positive and Negative Association Rules. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:658-665 [Conf]
  17. Xingquan Zhu, Xindong Wu, Qijun Chen
    Eliminating Class Noise in Large Datasets. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:920-927 [Conf]
  18. Xingquan Zhu, Xindong Wu
    Scalable Representative Instance Selection and Ranking. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2006, pp:352-355 [Conf]
  19. Kevin Cai, Xindong Wu, Heinz W. Schmidt
    Schedular++: Scheduling with Knowledge Objects. [Citation Graph (0, 0)][DBLP]
    ICTAI, 1997, pp:480-483 [Conf]
  20. Xindong Wu
    Knowledge Discovery in Multiple Databases. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2004, pp:2- [Conf]
  21. Kalyani K. Manchi, Xindong Wu
    Dynamic Refinement of Classification Rules. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2002, pp:189-0 [Conf]
  22. Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bond
    ACE: An Aggressive Classifier Ensemble with Error Detection, Correction, and Cleansing. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2005, pp:310-317 [Conf]
  23. Xingquan Zhu, Xindong Wu
    Data Acquisition with Active and Impact-Sensitive Instance Selection. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2004, pp:721-726 [Conf]
  24. Qijun Chen, Xindong Wu, Xingquan Zhu
    OIDM: Online Interactive Data Mining. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2004, pp:66-76 [Conf]
  25. Xindong Wu
    SIKT: A Structured Interactive Knowledge Transfer Program. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 1995, pp:787-795 [Conf]
  26. Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xindong Wu
    A Study of Causal Discovery With Weak Links and Small Samples. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1997, pp:1304-1309 [Conf]
  27. Xingquan Zhu, Xindong Wu
    Mining Video Associations for Efficient Database Management. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:1422-0 [Conf]
  28. Xingquan Zhu, Xindong Wu, Taghi M. Khoshgoftaar, Yong Shi
    An Empirical Study of the Noise Impact on Cost-Sensitive Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:1168-1174 [Conf]
  29. Xingquan Zhu, Xindong Wu
    Mining Complex Patterns across Sequences with Gap Requirements. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:2934-2941 [Conf]
  30. Dan He, Xindong Wu
    Ontology-based feature weighting for biomedical literature classification. [Citation Graph (0, 0)][DBLP]
    IRI, 2006, pp:280-285 [Conf]
  31. Qijun Chen, Xindong Wu, Xingquan Zhu
    Scalable Inductive Learning on Partitioned Data. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2005, pp:391-403 [Conf]
  32. Hao Wang, Kui Yu, Xindong Wu, Hongliang Yao
    Triangulation of Bayesian Networks Using an Adaptive Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2006, pp:127-136 [Conf]
  33. Xindong Wu, Petter Måhlén
    Fuzzy Interpretation of Induction Results. [Citation Graph (0, 0)][DBLP]
    KDD, 1995, pp:325-330 [Conf]
  34. David Urpani, Xindong Wu, Jim Sykes
    RITIO - Rule Induction Two In One. [Citation Graph (0, 0)][DBLP]
    KDD, 1996, pp:339-342 [Conf]
  35. Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhang
    Identifying bridging rules between conceptual clusters. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:815-820 [Conf]
  36. Ying Yang, Xindong Wu, Xingquan Zhu
    Combining proactive and reactive predictions for data streams. [Citation Graph (0, 0)][DBLP]
    KDD, 2005, pp:710-715 [Conf]
  37. Xindong Wu
    Induction as Pre-processing. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:114-122 [Conf]
  38. Ying Yang, Xindong Wu, Xingquan Zhu
    Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources. [Citation Graph (0, 0)][DBLP]
    PKDD, 2004, pp:471-483 [Conf]
  39. Xindong Wu, William H. W. Lo
    Multi-layer Incremental Induction. [Citation Graph (0, 0)][DBLP]
    PRICAI, 1998, pp:24-32 [Conf]
  40. Gyesung Lee, Xindong Wu, Jinho Chon
    Rearranging data objects for efficient and stable clustering. [Citation Graph (0, 0)][DBLP]
    SAC, 2005, pp:519-523 [Conf]
  41. Xindong Wu
    Knowledge discovery in very large databases. [Citation Graph (0, 0)][DBLP]
    SEKE, 2002, pp:15- [Conf]
  42. Xindong Wu
    Data Mining: Artificial Intelligence in Data Analysis. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2004, pp:7- [Conf]
  43. Daniel Siaw Weng Ngu, Xindong Wu
    Interest Discovery for Incremental Web Exploration. [Citation Graph (0, 0)][DBLP]
    WebNet, 1998, pp:- [Conf]
  44. Shichao Zhang, Xindong Wu
    Large Scale Data Mining Based on Data Partitioning. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2001, v:15, n:2, pp:129-139 [Journal]
  45. Xindong Wu
    Building Intelligent Learning Database Systems. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2000, v:21, n:3, pp:61-68 [Journal]
  46. Xingquan Zhu, Xindong Wu
    Class Noise vs. Attribute Noise: A Quantitative Study. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 2004, v:22, n:3, pp:177-210 [Journal]
  47. Xindong Wu
    Message from the TCCI Chair. [Citation Graph (0, 0)][DBLP]
    IEEE Computational Intelligence Bulletin, 2002, v:1, n:1, pp:1-2 [Journal]
  48. Xindong Wu
    Data Mining: An AI Perspective. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Informatics Bulletin, 2004, v:4, n:, pp:23-26 [Journal]
  49. Shichao Zhang, Xindong Wu, Chengqi Zhang
    Multi-Database Mining. [Citation Graph (0, 0)][DBLP]
    IEEE Computational Intelligence Bulletin, 2003, v:2, n:1, pp:5-13 [Journal]
  50. Xindong Wu
    A Bayesian Discretizer for Real-Valued Attributes. [Citation Graph (0, 0)][DBLP]
    Comput. J., 1996, v:39, n:8, pp:688-691 [Journal]
  51. Xindong Wu
    Hybrid Interpretation of `No Match' and `Multiple Match' in Induction. [Citation Graph (0, 0)][DBLP]
    Comput. J., 1997, v:40, n:1, pp:50-57 [Journal]
  52. Jason Lowder, Xindong Wu
    Wide Area Selection as a Hyperdocument Search Interface. [Citation Graph (0, 0)][DBLP]
    Computer Networks, 1998, v:30, n:1-7, pp:658-659 [Journal]
  53. Daniel Siaw Weng Ngu, Xindong Wu
    SiteHelper: A Localized Agent That Helps Incremental Exploration of the World Wide Web. [Citation Graph (0, 0)][DBLP]
    Computer Networks, 1997, v:29, n:8-13, pp:1249-1255 [Journal]
  54. Thuy-Linh Nguyen, Xindong Wu, Sayed Sajeev
    Object-Oriented Modeling of Multimedia Documents. [Citation Graph (0, 0)][DBLP]
    Computer Networks, 1998, v:30, n:1-7, pp:578-582 [Journal]
  55. Stephen Ransom, Xindong Wu
    Using Knowledge Anchors to Reduce Cognitive Overheads. [Citation Graph (0, 0)][DBLP]
    IEEE Computer, 2002, v:35, n:11, pp:111-112 [Journal]
  56. Xingquan Zhu, Xindong Wu, Qijun Chen
    Bridging Local and Global Data Cleansing: Identifying Class Noise in Large, Distributed Data Datasets. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2006, v:12, n:2-3, pp:275-308 [Journal]
  57. Ying Yang, Xindong Wu, Xingquan Zhu
    Mining in Anticipation for Concept Change: Proactive-Reactive Prediction in Data Streams. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2006, v:13, n:3, pp:261-289 [Journal]
  58. Kaile Su, Huijing Huang, Xindong Wu, Shichao Zhang
    A logical framework for identifying quality knowledge from different data sources. [Citation Graph (0, 0)][DBLP]
    Decision Support Systems, 2006, v:42, n:3, pp:1673-1683 [Journal]
  59. Qiang Yang, Craig A. Knoblock, Xindong Wu
    Guest Editors' Introduction: Mining Actionable Knowledge on the Web. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2004, v:19, n:6, pp:30-31 [Journal]
  60. Ying Yang, Xindong Wu
    Parameter Tuning for Induction-Algorithm-Oriented Feature Elimination. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2004, v:19, n:2, pp:40-49 [Journal]
  61. Stephen Ransom, Xindong Wu, Heinz W. Schmidt
    Disorientation and Cognitive Overhead in Hypertext Systems. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 1997, v:6, n:2, pp:227-253 [Journal]
  62. Jiaqi Wang, Xindong Wu, Chengqi Zhang
    Support vector machines based on K-means clustering for real-time business intelligence systems. [Citation Graph (0, 0)][DBLP]
    Int. J. Business Intelligence and Data Mining, 2005, v:1, n:1, pp:54-64 [Journal]
  63. Qiang Yang, Xindong Wu
    10 Challenging Problems in Data Mining Research. [Citation Graph (0, 0)][DBLP]
    International Journal of Information Technology and Decision Making, 2006, v:5, n:4, pp:597-604 [Journal]
  64. Xindong Wu
    A Prolog-Based Presentation for Integrating Knowledge and Data. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 1993, v:17, n:2, pp:- [Journal]
  65. Xindong Wu
    Lecture Notes in Machine Learning. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 1994, v:18, n:2, pp:- [Journal]
  66. Xindong Wu, Guang Fang, Matjaz Gams
    LFA+: A Fast Chaining Algorithm for Rule-Based Systems. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 1998, v:22, n:3, pp:- [Journal]
  67. Xindong Wu, Sita Ramakrishnan, Heinz W. Schmidt
    Knowledge Objects. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 1995, v:19, n:4, pp:- [Journal]
  68. Xindong Wu, Chengqi Zhang, Shichao Zhang
    Database classification for multi-database mining. [Citation Graph (0, 0)][DBLP]
    Inf. Syst., 2005, v:30, n:1, pp:71-88 [Journal]
  69. Xindong Wu
    Rule Induction with Extension Matrices. [Citation Graph (0, 0)][DBLP]
    JASIS, 1998, v:49, n:5, pp:435-454 [Journal]
  70. Xindong Wu
    Online First publication. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2003, v:5, n:1, pp:1- [Journal]
  71. Xindong Wu
    Editorial: Introducing the New Editor-in-Chief. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2004, v:6, n:6, pp:643-644 [Journal]
  72. Xindong Wu, Benjamin W. Wah
    Editorial. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 1999, v:1, n:2, pp:127- [Journal]
  73. Xingquan Zhu, Xindong Wu, Ying Yang
    Effective classification of noisy data streams with attribute-oriented dynamic classifier selection. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2006, v:9, n:3, pp:339-363 [Journal]
  74. Benjamin W. Wah, Xindong Wu
    Editorial. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 1999, v:1, n:1, pp:1-3 [Journal]
  75. Xindong Wu, Philip S. Yu, Gregory Piatetsky-Shapiro
    Data Mining: How Research Meets Practical Development? [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2003, v:5, n:2, pp:248-261 [Journal]
  76. Gong Chen, Xindong Wu, Xingquan Zhu, Abdullah N. Arslan, Yu He
    Efficient string matching with wildcards and length constraints. [Citation Graph (0, 0)][DBLP]
    Knowl. Inf. Syst., 2006, v:10, n:4, pp:399-419 [Journal]
  77. Xingquan Zhu, Jianping Fan, Ahmed K. Elmagarmid, Xindong Wu
    Hierarchical video content description and summarization using unified semantic and visual similarity. [Citation Graph (0, 0)][DBLP]
    Multimedia Syst., 2003, v:9, n:1, pp:31-53 [Journal]
  78. Xingquan Zhu, Xindong Wu, Jianping Fan, Ahmed K. Elmagarmid, Walid G. Aref
    Exploring video content structure for hierarchical summarization. [Citation Graph (0, 0)][DBLP]
    Multimedia Syst., 2004, v:10, n:2, pp:98-115 [Journal]
  79. Dacheng Tao, Xiaoou Tang, Xuelong Li, Xindong Wu
    Asymmetric Bagging and Random Subspace for Support Vector Machines-Based Relevance Feedback in Image Retrieval. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:7, pp:1088-1099 [Journal]
  80. Meide Zhao, Francis K. H. Quek, Xindong Wu
    RIEVL: Recursive Induction Learning in Hand Gesture Recognition. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:11, pp:1174-1185 [Journal]
  81. Xindong Wu
    EIC Editorial: TKDE Editorial Board Changes. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:4, pp:443-446 [Journal]
  82. Xindong Wu
    EIC Editorial: State of the Transactions. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:1, pp:1-5 [Journal]
  83. Xindong Wu
    EIC Editorial: TKDE Editorial Board Changes. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:9, pp:1153-1155 [Journal]
  84. Xindong Wu, Christos Faloutsos
    Editorial: TKDE Topic Area Revisions. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:6, pp:731-733 [Journal]
  85. Xingquan Zhu, Xindong Wu
    Cost-Constrained Data Acquisition for Intelligent Data Preparation. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:11, pp:1542-1556 [Journal]
  86. Xindong Wu, David Urpani
    Induction By Attribute Elimination. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 1999, v:11, n:5, pp:805-812 [Journal]
  87. Xingquan Zhu, Xindong Wu
    Class Noise Handling for Effective Cost-Sensitive Learning by Cost-Guided Iterative Classification Filtering. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:10, pp:1435-1440 [Journal]
  88. Xindong Wu, Shichao Zhang
    Synthesizing High-Frequency Rules from Different Data Sources. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2003, v:15, n:2, pp:353-367 [Journal]
  89. Xingquan Zhu, Xindong Wu, Ahmed K. Elmagarmid, Zhe Feng, Lide Wu
    Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:5, pp:665-677 [Journal]
  90. Xingquan Zhu, Xindong Wu, Ahmed K. Elmagarmid, Zhe Feng, Lide Wu
    Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective - Appendices. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:5, pp:- [Journal]
  91. Xindong Wu, Chengqi Zhang, Shichao Zhang
    Efficient mining of both positive and negative association rules. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Inf. Syst., 2004, v:22, n:3, pp:381-405 [Journal]
  92. Xindong Wu, Kevin Cai
    Knowledge object modeling. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2000, v:30, n:2, pp:96-107 [Journal]
  93. Jilian Zhang, Shichao Zhang, Xiaofeng Zhu, Xindong Wu, Chengqi Zhang
    Measuring the Uncertainty of Differences for Contrasting Groups. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1920-1921 [Conf]
  94. Xindong Wu
    User-Centered Agents for Structured Information Location on the Web. [Citation Graph (0, 0)][DBLP]
    EDOC, 2006, pp:- [Conf]
  95. Xingquan Zhu, Xindong Wu
    Discovering Relational Patterns across Multiple Databases. [Citation Graph (0, 0)][DBLP]
    ICDE, 2007, pp:726-735 [Conf]
  96. Yu He, Xindong Wu, Xingquan Zhu, Abdullah N. Arslan
    Mining Frequent Patterns with Wildcards from Biological Sequences. [Citation Graph (0, 0)][DBLP]
    IRI, 2007, pp:329-334 [Conf]
  97. Xuegang Hu, Dongbo Wang, Xindong Wu
    Varying Density Spatial Clustering Based on a Hierarchical Tree. [Citation Graph (0, 0)][DBLP]
    MLDM, 2007, pp:188-202 [Conf]
  98. Kui Yu, Hao Wang, Xindong Wu
    A Parallel Algorithm for Learning Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2007, pp:1055-1063 [Conf]
  99. Xindong Wu
    Class Noise vs Attribute Noise: Their Impacts, Detection and Cleansing. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2007, pp:7-8 [Conf]
  100. Xuegang Hu, Junhua Shi, Xindong Wu
    A New Algorithm for Attribute Reduction in Decision Tables. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2007, pp:37-46 [Conf]
  101. Xindong Wu
    Inductive learning: Algorithms and frontiers. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 1993, v:7, n:2, pp:93-108 [Journal]
  102. Xuegang Hu, Pei-Pei Li, Xindong Wu, Gong-Qing Wu
    A Semi-Random Multiple Decision-Tree Algorithm for Mining Data Streams. [Citation Graph (0, 0)][DBLP]
    J. Comput. Sci. Technol., 2007, v:22, n:5, pp:711-724 [Journal]
  103. Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Maybank
    General Tensor Discriminant Analysis and Gabor Features for Gait Recognition. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:10, pp:1700-1715 [Journal]
  104. Xindong Wu
    EIC Editorial: 2007 TKDE Editorial Board Changes. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2007, v:19, n:10, pp:1305-1307 [Journal]
  105. Christopher W. Clifton, Xindong Wu, Christos Faloutsos
    TKDE Guidelines for Survey Papers. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2007, v:19, n:11, pp:1449- [Journal]

  106. Clustering Web Services for Automatic Categorization. [Citation Graph (, )][DBLP]


  107. Learning from Concept Drifting Data Streams with Unlabeled Data. [Citation Graph (, )][DBLP]


  108. A Phrase-Based Method for Hierarchical Clustering of Web Snippets. [Citation Graph (, )][DBLP]


  109. Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees. [Citation Graph (, )][DBLP]


  110. Iterative Refinement of Repeat Sequence Specification Using Constrained Pattern Matching. [Citation Graph (, )][DBLP]


  111. Mining with Noise Knowledge: Error Aware Data Mining. [Citation Graph (, )][DBLP]


  112. An Intrusion Detection Model Based on Mining Data Streams. [Citation Graph (, )][DBLP]


  113. Mining Frequent Itemsets Using a Pruned Concept Lattice. [Citation Graph (, )][DBLP]


  114. Mining distribution change in stock order streams. [Citation Graph (, )][DBLP]


  115. Noise Modeling with Associative Corruption Rules. [Citation Graph (, )][DBLP]


  116. General Averaged Divergence Analysis. [Citation Graph (, )][DBLP]


  117. Cleansing Noisy Data Streams. [Citation Graph (, )][DBLP]


  118. Multilayer Change-Point Detection on Stock Order Flows by Wavelet Transformation. [Citation Graph (, )][DBLP]


  119. Vague One-Class Learning for Data Streams. [Citation Graph (, )][DBLP]


  120. Keyword Extraction Based on Lexical Chains and Word Co-occurrence for Chinese News Web Pages. [Citation Graph (, )][DBLP]


  121. Active Learning with Adaptive Heterogeneous Ensembles. [Citation Graph (, )][DBLP]


  122. Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data. [Citation Graph (, )][DBLP]


  123. Online Streaming Feature Selection. [Citation Graph (, )][DBLP]


  124. Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria. [Citation Graph (, )][DBLP]


  125. Error Detection and Uncertainty Modeling for Imprecise Data. [Citation Graph (, )][DBLP]


  126. Approximate Repeating Pattern Mining with Gap Requirements. [Citation Graph (, )][DBLP]


  127. Bayesian tensor analysis. [Citation Graph (, )][DBLP]


  128. Pattern Matching with Wildcards based on Key Character Location. [Citation Graph (, )][DBLP]


  129. Keyphrase Extraction from Chinese News Web Pages Based on Semantic Relations. [Citation Graph (, )][DBLP]


  130. Automatic Recognition of News Web Pages. [Citation Graph (, )][DBLP]


  131. Ensemble pruning via individual contribution ordering. [Citation Graph (, )][DBLP]


  132. A matrix modular SVM robust to imbalanced data for efficient visual concept detection. [Citation Graph (, )][DBLP]


  133. Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data. [Citation Graph (, )][DBLP]


  134. An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise. [Citation Graph (, )][DBLP]


  135. Fast Orthogonal Nonnegative Matrix Tri-Factorization for Simultaneous Clustering. [Citation Graph (, )][DBLP]


  136. Rule Synthesizing from Multiple Related Databases. [Citation Graph (, )][DBLP]


  137. A Comparative Study of Pattern Matching Algorithms on Sequences. [Citation Graph (, )][DBLP]


  138. BPBM: An Algorithm for String Matching with Wildcards and Length Constraints. [Citation Graph (, )][DBLP]


  139. OASNET: an optimal allocation approach to influence maximization in modular social networks. [Citation Graph (, )][DBLP]


  140. Adaptive Informative Sampling for Active Learning. [Citation Graph (, )][DBLP]


  141. Ubiquitous personalized information processing with wildcards. [Citation Graph (, )][DBLP]


  142. A relation extraction method of Chinese named entities based on location and semantic features. [Citation Graph (, )][DBLP]


  143. A New Descriptive Clustering Algorithm based on Nonnegative Matrix Factorization. [Citation Graph (, )][DBLP]


  144. Pattern Matching with Flexible Wildcards and Recurring Characters. [Citation Graph (, )][DBLP]


  145. A New Automatic Categorization Algorithm for Web Services. [Citation Graph (, )][DBLP]


  146. A Double-Window-Based Classification Algorithm for Concept Drifting Data Streams. [Citation Graph (, )][DBLP]


  147. Gene expression analyses using Genetic Algorithm based hybrid approaches. [Citation Graph (, )][DBLP]


  148. SAIL-APPROX: An Efficient On-Line Algorithm for Approximate Pattern Matching with Wildcards and Length Constraints. [Citation Graph (, )][DBLP]


  149. Mining Frequent Patterns with Gaps and One-Off Condition. [Citation Graph (, )][DBLP]


  150. Local Semi-linear Regression for River Runoff Forecasting. [Citation Graph (, )][DBLP]


  151. Data Mining: Algorithms and Problems. [Citation Graph (, )][DBLP]


  152. Error-Tolerant Data Mining. [Citation Graph (, )][DBLP]


  153. A Random Decision Tree Ensemble for Mining Concept Drifts from Noisy Data Streams. [Citation Graph (, )][DBLP]


  154. Exploratory analysis of protein translation regulatory networks using hierarchical random graphs. [Citation Graph (, )][DBLP]


  155. Learning Design Knowledge as Generalization. [Citation Graph (, )][DBLP]


  156. Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction [Citation Graph (, )][DBLP]


  157. NESVM: a Fast Gradient Method for Support Vector Machines [Citation Graph (, )][DBLP]


  158. Conceptual equivalence for contrast mining in classification learning. [Citation Graph (, )][DBLP]


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