Data Mining

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

  1. Mining bioprocess data: opportunities and challenges.

    Salim Charaniya, Wei-Shou Hu, and George Karypis. Trends in Biotechnology, 2009.

  1. Multi-Assay-Based SAR Models: Improving SAR Models by Incorporating Activity Information from Related Targets.

    Xia Ning, Huzefa Rangwala, and George Karypis. J. Chem. Inf. Modeling, 2009.

  1. Learning Preferences of New Users in Recommender Systems: An Information Theoretic Approach.

    Al Mamunnur Rashid, George Karypis, and John Riedl. SIGKDD Workshop on Web Mining and Web Usage Analysis (WEBKDD), 2008.

  1. A Segment-based Approach To Clustering Multi-Topic Documents.

    Andrea Tagarelli and George Karypis. Text Mining Workshop, SIAM Datamining Conference, 2008.

  1. Towards a Scalable kNN CF Algorithm: Exploring Effective Applications of clustering.

    Al Mamunur Rashid, Shyong K. Lam, Adam LaPitz, George Karypis, and John Riedl. In “Web Mining and Web Usage Analysis”, O. Nasraoui, et. al. (editors), Springer, 2008.

  1. Out-of-Core Coherent Closed Quasi-Clique Mining from Large Dense Graph Databases.

    Zhiping Zeng, Jianyong Wang, Lizhu Zhou, and George Karypis. ACM Transactions on Database Systems, Vol 32, Issue 2, 2007.

  1. fRMSDPred: Predicting local rmsd between structural fragments using sequence information.

    Huzefa Rangwala and George Karypis. Computational Systems Biology (CSB), pp. 311-322, 2007.

  1. Discriminating Subsequence Discovery for Sequence Clustering.

    Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal. SIAM International Conference on Data Mining (SDM), 2007.

  1. ClustKNN: A Highly Scalable Hybrid Model- and Memory-Based CF Algorithm.

    Al Mamunur Rashid, Shyong K. Lam, George Karypis, and John Riedl. WEBKDD, 2006.

  1. Coherent Closed Quasi-Clique Discovery from Large Dense Graph Databases.

    Zhiping Zeng, Jianyong Wang, Lizhu Zhou, and George Karypis. 12th International Conference on Knowledge and Data Discovery (KDD), 2006.

  1. On Mining Instance-Centric Classification Rules.

    Jianyong Wang and George Karypis. IEEE Transactions on Knowledge and Data Enigneering, 2006.

  1. Building Multiclass Classifiers for Remote Homology Detection and Fold Recognition.

    Huzefa Rangwala and George Karypis. BMC Bioinformatics, Jan 15;23(2):e17-23., 2006.