Data Mining

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

  1. A Scalable Algorithm for Clustering Sequential Data.

    Valerie Guralnik and George Karypis. 1st IEEE Conference on Data Mining, pp. 179 - 186, 2001.

  1. Gene Classification using Expression Profiles: A Feasibility Study.

    Michihiro Kuramochi and George Karypis. 2nd IEEE International Conference on Bioinformatics and Bioengineering (BIBE), pp. 191-200, 2001.

  1. When being Weak is Brave: Privacy Issues in Recommender Systems.

    N. Ramakrishnan, B. J. Keller, B. J. Mirza, A. Y. Grama, and G. Karypis. IEEE Internet Computing, 54 - 62, Vol 5, No. 6, 2001.

  1. Item-Based Collaborative Filtering Recommendation Algorithms.

    Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl. WWW10, pp. 285 - 295, 2001.

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

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