Complete list of publications

  1. Effective Optimization Algorithms for Fragment-assembly based Protein Structure Prediction.

    Kevin W. DeRonne and George Karypis. Computational Systems Bioinformatics Conference (CSB), 2006.

  1. Acyclic Subgraph-based Descriptor Spaces for Chemical Compound Retrieval and Classification.

    Nikil Wale and George Karypis. IEEE International Conference on Data Mining (ICDM), 2006.

  1. Incremental Window-based Protein Sequence Alignment Algorithms.

    Huzefa Rangwala and George Karypis. 5th European Conference on Computational Biology (ECCB), 2006.

  1. Protein Structure Prediction using String Kernels.

    Huzefa Rangwala, Kevin DeRonne, and George Karypis. UMN CSE 06-005, 2006.

  1. On efficiently summarizing categorical databases.

    Jianyong Wang and George Karypis. Knowledge and Information Systems, vol. 9, no. 1, 2006.

  1. YASSPP: Better Kernels and Coding Schemes Lead to Improvements in SVM-basedSecondary Structure Prediction.

    George Karypis. PROTEINS: Structure, Function, and Bioinformatics, 2006.

  1. Multilevel Algorithms for Partitioning Power-Law Graphs.

    Amine Abou-Rjeili and George Karypis. IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2006.

  1. Multi-Objective Hypergraph Partitioning Algorithms for Cut and Maximum Subdomain Degree Minimization.

    Navaratnasothie Selvakkumaran and George Karypis. IEEE Transactions on CAD, 25(3), pp. 504-517, 2006.

  1. Hierarchical Clustering Algorithms for Document Datasets.

    Ying Zhao and George Karypis. Data Mining and Knowledge Discovery, Vol. 10, No. 2, pp. 141 - 168, 2005.

  1. Finding Frequent Patterns in a Large Sparse Graph.

    Michihiro Kuramochi and George Karypis. Data Mining and Knowledge Discovery, 11(3): 243-271, 2005.

  1. Effective Document Clustering for Large Heterogeneous Law Firm Collections.

    Jack G. Conrad, Khalid Al-Kofahi, Ying Zhao, and George Karypis. 10th International Conference on Artificial Intelligence and Law (ICAIL), pp. 177-187, 2005.

  1. HARMONY: Efficiently Mining the Best Rules for Classification.

    Jianyong Wang and George Karypis. SIAM International Conference on Data Mining, pp. 205--216, 2005.