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Data Mining

Here is a list of publications that are related to our data mining research.

  1. Concept Indexing: A Fast Dimensionality Reduction Algorithm with Applications to Document Retrieval & Categorization.

    George Karypis and Eui-Hong (Sam) Han. UMN CS TR# 00-016, 2000.

  1. A Comparison of Document Clustering Techniques.

    Michael Steinbach, George Karypis and Vipin Kumar. KDD Workshop on Text Mining, 2000.

  1. Centroid-Based Document Classification: Analysis & Experimental Results.

    Eui-Hong (Sam) Han and George Karypis. 4th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), pp. 424 - 431, 2000.

  1. Scalabale Parallel Data Mining for Association Rules.

    Eui-Hong (Sam) Han, George Karypis and Vipin Kumar. IEEE Transactions on Knowledge and Data Engineering, Vol. 12, No. 3, pp337 - 352, 2000.

  1. Analysis of Recommendation Algorithms for E-Commerce.

    Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl. 2nd ACM Conference on Electronic Commerce, pp. 158-167, 2000.

  1. Application of Dimensionality Reduction in Recommender System A Case Study.

    Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl. WebKDD-2000 Workshop, 2000.

  1. Document Categorization and Query Generation on the World Wide Web Using WebACE.

    D. Boley, M. Gini, R. Gross, E. Han, K. Hastings, G. Karypis, V. Kumar, B. Mobasher, and J. Moore. AI Review, Vol. 11, pp 365 - 391, 1999.

  1. A Universal Formulation of Sequential Patterns.

    Mahesh Joshi, George Karypis, and Vipin Kumar. UMN CS 99-021, 1999.

  1. Multilevel Refinement for Hierarchical Clustering.

    George Karypis, Eui-Hong (Sam) Han, and Vipin Kumar. UMN CS 99-020, 1999.

  1. CHAMELEON: A Hierarchical Clustering Algorithm Using Dynamic Modeling.

    George Karypis, Eui-Hong Han, Vipin Kumar. IEEE Computer 32(8): 68-75, 1999.

  1. ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets.

    Mahesh Joshi, George Karypis, and Vipin Kumar. 12th Intl. Parallel Processing Symposium, pp. 573 - 579, 1998.

  1. A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets.

    Mahesh V. Joshi, George Karypis, and Vipin Kumar. 12th Intl. Parallel Processing Symposium, pp. 573 - 579, 1998.