Data Mining

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

  1. PL2AP: Fast Parallel Cosine Similarity Search.

    David C. Anastasiu and George Karypis. 5th Workshop on Irregular applications: Architectures and Algorithms, Supercomputing, 2015.

  1. Tensor-Matrix Products with a Compressed Sparse Tensor.

    Shaden Smith and George Karypis. 5th Workshop on Irregular applications: Architectures and Algorithms, Supercomputing, 2015.

  1. A Memory Management System Optimized for BDMPI’s Memory and Execution Model.

    Jeremy Iverson and George Karypis. EuroMPI, 2015.

  1. L2Knng: Fast Exact K-Nearest Neighbor Graph Construction with L2-Norm Pruning.

    David C. Anastasiu and George Karypis. 24th ACM International Conference on Information and Knowledge Management (CIKM), 2015.

  1. DMS: Distributed Sparse Tensor Factorization with Alternating Least Squares.

    Shaden Smith and George Karypis. UMN-CS TR 15-007, 2015.

  1. Accounting for Language Changes over Time in Document Similarity Search.

    Sara Morsy and George Karypis. UMN-CS TR 15-011, 2015.

  1. SPLATT: Efficient and Parallel Sparse Tensor-Matrix Multiplication.

    Shaden Smith, Niranjay Ravindran, Nicholas D. Sidiropoulos, and George Karypis. 29th IEEE International Parallel & Distributed Processing Symposium, 2015.

  1. Mining Coevolving Induced Relational Motifs in Dynamic Networks.

    Rezwan Ahmed and George Karypis. Workshop on Dynamic Networks (SDM-Networks), SIAM Data mining Conference, 2015.

  1. Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation.

    Mohit Sharma, Jiayu Zhou, Junling Hu, and George Karypis. 2015 SIAM International Conference on Data Mining, 2015.

  1. A comprehensive survey of neighborhood-based recommendation methods.

    Xia Ning, Christian Desrosiers, and George Karypis. In Recommender Systems Handbook; 2nd edition, 2015.

  1. Understanding Computer Usage Evolution.

    David C. Anastasiu, Al M. Rashid, Andrea Tagarelli, and George Karypis. 31st IEEE International Conference on Data Engineering (ICDE), 2015.

  1. NLMF: NonLinear Matrix Factorization Methods for Top-N Recommender Systems.

    Santosh Kabbur and George Karypis. 7th ICDM International Workshop on Domain Driven Data Mining (DDDM), 2014.