Publications Related to Data Mining

  1. Cumulative Knowledge-based Regression Models for Next-term Grade Prediction.

    Sara Morsy and George Karypis. SIAM Data Mining Conference (SDM), 2017.

  1. Grade Prediction with Course and Student Specific c Models.

    Agoritsa Polyzou and George Karypis. International Journal of Data Science and Analytics, 2016.

  1. Fast Parallel Cosine K-Nearest Neighbor Graph Construction.

    David Anastasiu and George Karypis. 6th Workshop on Irregular applications: Architectures and Algorithms, Supercomputing, 2016.

  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.