Data Mining

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

  1. The Set Classification Problem and Solution Methods.

    Xia Ning and George Karypis.&nbsp SIAM Data Mining, pp. 847-858, 2009.

  1. A kernel framework for protein residue annotation.

    Huzefa Rangwala, Christopher Kauffman, and George Karypis.&nbsp PAKDD, pp. 439-451, 2009.

  1. TOPTMH: Topology Predictor for Transmembrane alpha-Helices.

    Rezwan Ahmed, Huzefa Rangwala, and George Karypis.&nbsp Journal of Bioinformatics and Computational Biology, 2009.

  1. Within-network classification using local structure similarity.

    Christian Desrosiers and George Karypis.&nbsp ECML-PKDD, pp. 260-275, 2009.

  1. Mining bioprocess data: opportunities and challenges.

    Salim Charaniya, Wei-Shou Hu, and George Karypis.&nbsp 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.&nbsp 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 RiedlSIGKDD Workshop on Web Mining and Web Usage Analysis (WEBKDD), 2008.

  1. A Segment-based Approach To Clustering Multi-Topic Documents. Andrea Tagarelli and George KarypisText 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 RiedlIn “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 KarypisACM Transactions on Database Systems, Vol 32, Issue 2, 2007.

  1. fRMSDPred: Predicting local rmsd between structural fragments using sequence information. Huzefa Rangwala and George KarypisComputational Systems Biology (CSB), pp. 311-322, 2007.

  1. Discriminating Subsequence Discovery for Sequence Clustering. Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. AggarwalSIAM International Conference on Data Mining (SDM), 2007.