Data Mining
Here is a list of publications that are related to our data mining research.
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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.
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Local Item-Item Models for Top-N Recommendation.
Evangelia Christakopoulou and George Karypis. 10th ACM Conference on Recommender Systems (RecSys), 2016.
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Domain-Aware Grade Prediction and Top-N Course Recommendation.
Asmaa Elbadrawy and George Karypis. 10th ACM Conference on Recommender Systems (RecSys), 2016.
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Efficient Identification of Tanimoto Nearest Neighbors.
David C. Anastasiu and George Karypis. IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016.
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PL2AP: Fast Parallel Cosine Similarity Search.
David C. Anastasiu and George Karypis. 5th Workshop on Irregular applications: Architectures and Algorithms, Supercomputing, 2015.
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Tensor-Matrix Products with a Compressed Sparse Tensor.
Shaden Smith and George Karypis. 5th Workshop on Irregular applications: Architectures and Algorithms, Supercomputing, 2015.
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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.
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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.
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Mining Coevolving Induced Relational Motifs in Dynamic Networks.
Rezwan Ahmed and George Karypis. Workshop on Dynamic Networks (SDM-Networks), SIAM Data mining Conference, 2015.
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