Publications Related to Data Mining
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Memory-Efficient Parallel Computation of Tensor and Matrix Products for Big Tensor Decomposition.
Niranjay Ravindran, Nicholas D. Sidiropoulos, Shaden Smith, and George Karypis. 28th Asilomar Conference on Signals, 2014.
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HOSLIM: Higher-Order Sparse Linear Method for Top-N Recommender Systems.
Evangelia Christakopoulou and George Karypis. 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2014.
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Signaling Adverse Drug Reactions with Novel Feature-based Similarity Model.
Fan Yang, Xiaohui Yu, and George Karypis. IEEE Conf. on Bioinformatics and Biomedicine (BIBM), 2014.
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Big Data Frequent Pattern Mining.
David C. Anastasiu, Jeremy Iverson, Shaden Smith, and George Karypis. Frequent Pattern Mining (editors: Charu C. Aggarwal and Jawei Han), Springer, 2014.
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Multi-threaded Modularity Based Graph Clustering using the Multilevel Paradigm.
Dominique LaSalle and George Karypis. Journal of Parallel and Distributed Computing, 2014.
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MPI for Big Data: New Tricks for an Old Dog.
Dominique LaSalle and George Karypis. Parallel Computing, 2014.
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L2AP: Fast Cosine Similarity Search With Prefix L-2 Norm Bounds.
David C. Anastasiu and George Karypis. 30th IEEE International Conference on Data Engineering (ICDE), 2014.
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FISM: Factored Item Similarity Models for Top-N Recommender Systems.
Santosh Kabbur, Xia Ning, and George Karypis. 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2013.
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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.
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