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Pang-Ning Tan: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hui Xiong, Pang-Ning Tan, Vipin Kumar
    Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:387-394 [Conf]
  2. Jing Gao, Pang-Ning Tan
    Converting Output Scores from Outlier Detection Algorithms into Probability Estimates. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:212-221 [Conf]
  3. H. D. K. Moonesinghe, Samah Fodeh, Pang-Ning Tan
    Frequent Closed Itemset Mining Using Prefix Graphs with an Efficient Flow-Based Pruning Strategy. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:426-435 [Conf]
  4. Brian D. Connelly, Christopher W. Bowron, Li Xiao, Pang-Ning Tan, Chen Wang
    Adaptively Routing P2P Queries Using Association Analysis. [Citation Graph (0, 0)][DBLP]
    ICPP, 2006, pp:281-288 [Conf]
  5. H. D. K. Moonesinghe, Pang-Ning Tan
    Outlier Detection Using Random Walks. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2006, pp:532-539 [Conf]
  6. Robert Cooley, Pang-Ning Tan, Jaideep Srivastava
    Discovery of Interesting Usage Patterns from Web Data. [Citation Graph (0, 0)][DBLP]
    WEBKDD, 1999, pp:163-182 [Conf]
  7. Michael Steinbach, Pang-Ning Tan, Vipin Kumar
    Support envelopes: a technique for exploring the structure of association patterns. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:296-305 [Conf]
  8. Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Steven A. Klooster, Christopher Potter
    Discovery of climate indices using clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 2003, pp:446-455 [Conf]
  9. Michael Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar
    Generalizing the notion of support. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:689-694 [Conf]
  10. Pang-Ning Tan, Hannah Blau, Steven A. Harp, Robert P. Goldman
    Textual data mining of service center call records. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:417-423 [Conf]
  11. Pang-Ning Tan, Rong Jin
    Ordering patterns by combining opinions from multiple sources. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:695-700 [Conf]
  12. Pang-Ning Tan, Vipin Kumar
    Mining Indirect Associations in Web Data. [Citation Graph (0, 0)][DBLP]
    WEBKDD, 2001, pp:145-166 [Conf]
  13. Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
    Selecting the right interestingness measure for association patterns. [Citation Graph (0, 0)][DBLP]
    KDD, 2002, pp:32-41 [Conf]
  14. Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar
    Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs. [Citation Graph (0, 0)][DBLP]
    KDD, 2004, pp:334-343 [Conf]
  15. Jing Gao, Jianzhong Li, Zhaogong Zhang, Pang-Ning Tan
    An Incremental Data Stream Clustering Algorithm Based on Dense Units Detection. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2005, pp:420-425 [Conf]
  16. Haibin Cheng, Pang-Ning Tan, Jing Gao, Jerry Scripps
    Multistep-Ahead Time Series Prediction. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2006, pp:765-774 [Conf]
  17. Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
    Indirect Association: Mining Higher Order Dependencies in Data. [Citation Graph (0, 0)][DBLP]
    PKDD, 2000, pp:632-637 [Conf]
  18. Jing Gao, Haibin Cheng, Pang-Ning Tan
    Semi-supervised outlier detection. [Citation Graph (0, 0)][DBLP]
    SAC, 2006, pp:635-636 [Conf]
  19. Jing Gao, Haibin Cheng, Pang-Ning Tan
    A Novel Framework for Incorporating Labeled Examples into Anomaly Detection. [Citation Graph (0, 0)][DBLP]
    SDM, 2006, pp:- [Conf]
  20. Jing Gao, Pang-Ning Tan, Haibin Cheng
    Semi-Supervised Clustering with Partial Background Information. [Citation Graph (0, 0)][DBLP]
    SDM, 2006, pp:- [Conf]
  21. Jerry Scripps, Pang-Ning Tan
    Clustering in the Presence of Bridge-Nodes. [Citation Graph (0, 0)][DBLP]
    SDM, 2006, pp:- [Conf]
  22. Hui Xiong, Michael Steinbach, Pang-Ning Tan, Vipin Kumar
    HICAP: Hierarchical Clustering with Pattern Preservation. [Citation Graph (0, 0)][DBLP]
    SDM, 2004, pp:- [Conf]
  23. Aysel Ozgur, Pang-Ning Tan, Vipin Kumar
    RBA: An Integrated Framework for Regression based on Association Rules. [Citation Graph (0, 0)][DBLP]
    SDM, 2004, pp:- [Conf]
  24. Vipin Kumar, Mahesh V. Joshi, Eui-Hong Han, Pang-Ning Tan, Michael Steinbach
    High Performance Data Mining. [Citation Graph (0, 0)][DBLP]
    VECPAR, 2002, pp:111-125 [Conf]
  25. Pang-Ning Tan, Vipin Kumar
    Discovery of Web Robot Sessions Based on their Navigational Patterns. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2002, v:6, n:1, pp:9-35 [Journal]
  26. Hui Xiong, Pang-Ning Tan, Vipin Kumar
    Hyperclique pattern discovery. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2006, v:13, n:2, pp:219-242 [Journal]
  27. Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
    Selecting the right objective measure for association analysis. [Citation Graph (0, 0)][DBLP]
    Inf. Syst., 2004, v:29, n:4, pp:293-313 [Journal]
  28. Bo Wang, Sohraab Soltani, Jonathan K. Shapiro, Pang-Ning Tan
    Local Detection of Selfish Routing Behavior in Ad Hoc Networks. [Citation Graph (0, 0)][DBLP]
    Journal of Interconnection Networks, 2006, v:7, n:1, pp:133-146 [Journal]
  29. Jaideep Srivastava, Robert Cooley, Mukund Deshpande, Pang-Ning Tan
    Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2000, v:1, n:2, pp:12-23 [Journal]
  30. Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar
    TAPER: A Two-Step Approach for All-Strong-Pairs Correlation Query in Large Databases. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:4, pp:493-508 [Journal]
  31. Haibin Cheng, Pang-Ning Tan, Rong Jin
    Localized Support Vector Machine and Its Efficient Algorithm. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  32. Hamed Valizadegan, Pang-Ning Tan
    Kernel Based Detection of Mislabeled Training Examples. [Citation Graph (0, 0)][DBLP]
    SDM, 2007, pp:- [Conf]
  33. Hamed Valizadegan, Pang-Ning Tan
    A Prototype-driven Framework for Change Detection in Data Stream Classification. [Citation Graph (0, 0)][DBLP]
    CIDM, 2007, pp:88-95 [Conf]

  34. A co-classification framework for detecting web spam and spammers in social media web sites. [Citation Graph (, )][DBLP]


  35. Data mining for visual exploration and detection of ecosystem disturbances. [Citation Graph (, )][DBLP]


  36. Exploration of Link Structure and Community-Based Node Roles in Network Analysis. [Citation Graph (, )][DBLP]


  37. Recommendation via Query Centered Random Walk on K-Partite Graph. [Citation Graph (, )][DBLP]


  38. A Robust Graph-Based Algorithm for Detection and Characterization of Anomalies in Noisy Multivariate Time Series. [Citation Graph (, )][DBLP]


  39. A Semi-supervised Framework for Simultaneous Classification and Regression of Zero-Inflated Time Series Data with Application to Precipitation Prediction. [Citation Graph (, )][DBLP]


  40. Mining interesting contrast rules for a web-based educational system. [Citation Graph (, )][DBLP]


  41. A matrix alignment approach for link prediction. [Citation Graph (, )][DBLP]


  42. A Probabilistic Substructure-Based Approach for Graph Classification. [Citation Graph (, )][DBLP]


  43. Incorporating Background Knowledge for Subjective Rule Evaluation. [Citation Graph (, )][DBLP]


  44. Maximum Margin Active Learning for Sequence Labeling with Different Length. [Citation Graph (, )][DBLP]


  45. Local Detection of Selfish Routing Behavior in Ad Hoc Networks. [Citation Graph (, )][DBLP]


  46. Semi-supervised learning with data calibration for long-term time series forecasting. [Citation Graph (, )][DBLP]


  47. Measuring the effects of preprocessing decisions and network forces in dynamic network analysis. [Citation Graph (, )][DBLP]


  48. Combining statistics and semantics via ensemble model for document clustering. [Citation Graph (, )][DBLP]


  49. Detection and Characterization of Anomalies in Multivariate Time Series. [Citation Graph (, )][DBLP]


  50. An Integrated Framework for Simultaneous Classification and Regression of Time-Series Data. [Citation Graph (, )][DBLP]


  51. Link Mining for a Social Bookmarking Web Site. [Citation Graph (, )][DBLP]


  52. History-Based Email Prioritization. [Citation Graph (, )][DBLP]


  53. A Matrix Alignment Approach for Collective Classification. [Citation Graph (, )][DBLP]


  54. Clustering Social Networks Using Distance-Preserving Subgraphs. [Citation Graph (, )][DBLP]


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