Data Mining
Here is a list of publications that are related to our data mining research.
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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.
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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.
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A Comprehensive Survey of Neighborhood-based Recommendation Methods.
Christian Desrosiers and George Karypis. Recommender Systems Handbook, pp. 107-144, 2011.
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Multi-task Learning for Recommender Systems.
Xia Ning and George Karypis. 2nd Asian Conference on Machine Learning (ACML), 2010.
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Content-Based Methods for Predicting Web-Site Demographic Attributes.
Santosh Kabbur, Eui-Hong Han, and George Karypis. 10th IEEE International Conference on Data Mining (ICDM), 2010.
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Assessing Synthetic Accessibility of Chemical Compounds Using Machine Learning Methods.
Yevgeniy Podolyan, Michael Walters, and George Karypis. Journal of Chemical Information and Modeling, Vol. 50, pp. 979—991, 2010.
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Genome-wide Inference of Regulatory Networks in Streptomyces Coelicolor.
Marlene Castro-Melchor, Salim Charaniya, George Karypis, Eriko Takano, and Wei-Shou Hu. BMC Genomics, Vol. 11, pp. 578, 2010.
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Mining manufacturing data for discovery of high productivity process characteristics.
Salim Charaniya, Huong Le, Huzefa Rangwala, Keri Mills, Kevin Johnson, George Karypis, and Wei-Shou Hu. Journal of Biotechnology, Vol. 147, pp. 186—197, 2010.
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A Novel Approach to Compute Similarities and its Application to Item Recommendation.
Christian Desrosiers and George Karypis. 11th Pacific Rim International Conference on Artificial Intelligence (PRICAI), pp. 39—51, 2010.
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