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Complete list of publications

  1. Evaluation of Item-Based Top-N Recommendation Algorithms.

    George Karypis. 10th Conference of Information and Knowledge Management (CIKM), pp. 247 - 254, 2001.

  1. Wavefront Diffusion and LMSR: Algorithms for Dynamic Repartitioning of Adaptive Meshes.

    Kirk Schloegel, George Karypis, and Vipin Kumar. IEEE Transactions on Parallel and Distributed Systems. Vol. 12, No. 5, 451 - 466, 2001.

  1. Multilevel Algorithms for Generating Coarse Grids for Multigrid Methods.

    Irene Moulitsas and George Karypis. Supercomputing, 2001.

  1. Parallel Algorithms for Sequence Mining.

    Valerie Guralnik, Nivea Garg, and George Karypis. Euro-Par 2001: 310-320, 2001.

  1. Weight Adjustment Schemes for a Centroid-based Classifier.

    Shrikanth Shankar and George Karypis. KDD Workshop on Text Mining, 2000.

  1. Fast Dimensionality Reduction Algorithm with Applications to Document Retrieval & Categorization.

    George Karypis and Eui-Hong (Sam) Han. 9th International Conference on Information and Knowledge Management (CIKM), pp. 12 - 19, 2000.

  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.