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Publications Related to Data Mining

  1. Gene Classification using Expression Profiles: A Feasibility Study. Michihiro Kuramochi and George Karypis.  International Journal on Artificial Intelligence Tools. Vol. 14, No. 4, pp. 641 - 660, 2005.

  1. Frequent Sub-structure Based Approaches for Classifying Chemical Compounds. Mukund Deshpande, Michihiro Kuramochi, Nikil Wale, and George Karypis.  IEEE Trans. Knowl. Data Eng. 17(8): 1036-1050, 2005.

  1. Selective Markov Models for Predicting Web-Page Accesses. Mukund Deshpande and George Karypis.  ACM Transactions on Internet Technology, Vol. 4, Issue 2, pp. 163 - 184, 2004.

  1. Macromolecule Mass Spectrometry: Citation Mining of User Documents. R. N. Kostoff, C. D. Bedford, J. Antonio del Rio, H. D. Cortes, and G. Karypis.  Journal of the American Society for Mass Spectrometry, Vol. 15, No. 3, pp. 281 - 287, 2004.

  1. Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering. Ying Zhao and George Karypis.  Machine Learning, 55, pp. 311-331, 2004.

  1. Soft Clustering Criterion Functions for Partitional Document Clustering. Ying Zhao and George Karypis.  13th Conference of Information and Knowledge Management (CIKM), pp. 246-247, 2004.

  1. GREW: A Scalable Frequent Subgraph Discovery Algorithm. Michihiro Kuramochi and George Karypis.  4th IEEE Conference on Data Mining (ICDM), pp. 439-442, 2004.

  1. SUMMARY: Efficient Summarizing Transactions for Clustering. Jianyong Wang and George Karypis.  4th IEEE Conference on Data Mining (ICDM), pp. 241-248, 2004.

  1. gCLUTO: An Interactive Clustering, Visualization, and Analysis System. Matt Rasmussen and George Karypis.  UMN-CS TR-04-021, 2004.

  1. Efficient Closed Pattern Mining in the Presence of Tough Block Constraints. Krishna Gade, Jianyong Wang, and George Karypis.  10th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2004.

  1. BAMBOO: Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint. Jianyong Wang and George Karypis.  SIAM International Conference on Data Mining, 2004.

  1. Finding Frequent Patterns in a Large Sparse Graph. Michihiro Kuramochi and George Karypis.  SIAM International Conference on Data Mining, 2004.
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