Publications Related to Data Mining

  1. Predicting Student Performance Using Personalized Analytics.

    Asmaa Elbadrawy, Agoritsa Polyzou, Zhiyun Ren, Mackenzie Sweeney, George Karypis, and Huzefa Rangwala. IEEE Computer, pp. 61—69, April , 2016.

  1. Grade Prediction with Course and Student Specific Models.

    Agoritsa Polyzou and George Karypis. 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2016.

  1. Domain-Aware Grade Prediction and Top-N Course Recommendation.

    Asmaa Elbadrawy and George Karypis. 10th ACM Conference on Recommender Systems (RecSys), 2016.

  1. Efficient Identification of Tanimoto Nearest Neighbors.

    David C. Anastasiu and George Karypis. IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016.

  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.