Data Mining

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

  1. AREM: A Novel Associative Regression Model Based on the EM Algorithm.

    Zhonghua Jiang and George Karypis. 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2013.

  1. Document Clustering: The Next Frontier.

    David C. Anastasiu and Andrea Tagarelli and George Karypis. UMN-CS&E TR 13-004, 2013.

  1. Multivariate analysis of cell culture bioprocess data--lactate consumption as process indicator.

    Huong Le and Santosh Kabbur and Luciano Pollastrini and Ziran Sun and Keri Mills and Kevin Johnson and George Karypis and Wei-Shou Hu. Journal of Biotechnology, 162, pp. 210-223, 2012.

  1. A segment-based approach to clustering multi-topic documents.

    Andrea Tagarelli and George Karypis. Knowledge and Information Systems, Sptember, 2012.

  1. Multi-view learning via probabilistic latent semantic analysis .

    Fuzhen Zhuang, George Karypis, Xia Ning, Qing He, and Zhongzhi Shi. Information Sciences, 199; pp. 20-30, 2012.

  1. Improved Machine Learning Models for Predicting Selective Compounds.

    Xia Ning and George Karypis. Journal of Chemical Information and Modeling, 58, pp. 38-50, 2012.

  1. Sparse Linear Methods with Side Information for Top-N Recommendations.

    Xia Ning and George Karypis. 6th ACM Recommender Systems Conference (RecSys), 2012.

  1. SLIM: Sparse Linear Methods for Top-N Recommender Systems.

    Xia Ning and George Karypis. ICDM , 2011.

  1. Improved Machine Learning Models for Predicting Selective Compounds.

    Xia Ning, Michael Walters, and George Karypis. ACM Conference on Bioinformatics, Computational Biology and Biomedicine. Chicago, 2011.

  1. Automatic Detection of Vaccine Adverse Reactions by Incorporating Historical Medical Conditions.

    Zhonghua Jiang and George Karypis. ACM Conference on Bioinformatics, Computational Biology and Biomedicine. Chicago, 2011.