Complete list of publications

  1. SUMMARY: Efficient Summarizing Transactions for Clustering. Jianyong Wang and George Karypis4th IEEE Conference on Data Mining (ICDM), pp. 241-248, 2004.

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

  1. Efficient Closed Pattern Mining in the Presence of Tough Block Constraints. Krishna Gade, Jianyong Wang, and George Karypis10th 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 KarypisSIAM International Conference on Data Mining, 2004.

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

  1. An Efficient Algorithm for Discovering Frequent Subgraphs. Michihiro Kuramochi and George KarypisIEEE Trans. Knowl. Data Eng. 16(9): 1038-1051, 2004.

  1. Finding Functionally Related Genes by Local and Global Analysis of MEDLINE Abstracts. Sigve Nakken, Christopher Kauffman, and George KarypisSIGIR04 Bio Workshop: Search and Discovery in Bioinformatics, 2004.

  1. Item-Based Top-N Recommendation Algorithms. Mukund Deshpande and George KarypisACM Transactions on Information Systems. Volume 22, Issue 1, pp. 143 - 177, 2004.

  1. Multi-Resource Aware Partitioning Algorithms for FPGAs with Heterogeneous Resources. Navaratnasothie Selvakkumaran, Abhishek Ranjan, Salil Raje, and George Karypis41st Design Automation Conference, pp. 741-746, 2004.

  1. Parallel Formulations of a Tree-Projection Based Sequence Discovery Algorithm. Valerie Guralnik and George KarypisParallel Computing 30(4): 443-472, 2004.

  1. Interferon-Inducible Gene Expression Signature in Peripheral Blood Cells of Patients with Severe SLE. E. Baechler, F. Batliwalla, G. Karypis, P. Gaffney, W. Ortmann, K. Espe, K. Shark, W. Grande, K. Hughes, V. Kapur, P. Gregersen, and T. BehrensProceedings of the National Academies of Sciences (PNAS), Vol. 100, No. 5, pp. 2610 - 2615, 2003.

  1. Predicting the Performance of Randomized Parallel Search: An Application to Robot Motion Planning. Daniel Challou, Maria Gini, Vipin Kumar, and George KarypisJournal of Intelligent and Robotic Systems. Volume 38, Number 1, pp. 31 - 53, 2003.