Data Mining

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

  1. Adaptive matrix completion for the users and the items in tail.

    Mohit Sharma and George Karypis. WWW'19, 2019.

  1. RecWalk: Nearly Uncoupled Random Walks for Top-N Recommendation.

    Athanasios N Nikolakopoulos and George Karypis. Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining (WSDM'19), 2019.

  1. UPM: Discovering Course Enrollment Sequences Associated with Success.

    Asmaa Elbadrawy and George Karypis. Proceedings of the 9th International Conference on Learning Analytics & Knowledge (LAK19), 2019.

  1. A Study on Curriculum Planning and Its Relationship with Graduation GPA and Time To Degree.

    Sara Morsy and George Karypis. Proceedings of the 9th International Conference on Learning Analytics & Knowledge (LAK19), 2019.

  1. Detecting significant genotype–phenotype association rules in bipolar disorder: market research meets complex genetics.

    René Breuer, Manuel Mattheisen, Josef Frank, Bertram Krumm, Jens Treutlein, Layla Kassem, Jana Strohmaier, Stefan Herms, Thomas W. Mühleisen, Franziska Degenhardt, Sven Cichon, Markus M. Nöthen, George Karypis, John Kelsoe, Tiffany Greenwood, Caroline Nievergelt, Paul Shilling, Tatyana Shekhtman, Howard Edenberg, David Craig, Szabolcs Szelinger, John Nurnberger, Elliot Gershon, Ney Alliey-Rodriguez, Peter Zandi, Fernando Goes, Nicholas Schork, Erin Smith, Daniel Koller, Peng Zhang, Judith Badner, Wade Berrettini, Cinnamon Bloss, William Byerley, William Coryell, Tatiana Foroud, Yirin Guo, Maria Hipolito, Brendan Keating, William Lawson, Chunyu Liu, Pamela Mahon, Melvin McInnis, Sarah Murray, Evaristus Nwulia, James Potash, John Rice, William Scheftner, Sebastian Zöllner, Francis J. McMahon, Marcella Rietschel, Thomas G. Schulze. International Journal of Bipolar Disorders, Volume 6, Issue 1, 2018.

  1. Text segmentation on multilabel documents: A distant-supervised approach.

    Saurav Manchanda and George Karypis. IEEE International Conference on Data Mining, 2018.

  1. Local Latent Space Models for Top-N Recommendation.

    Evangelia Christakopoulou and George Karypis. KDD, August 19-23, 2018, London, United Kingdom, 2018.

  1. Streaming Tensor Factorization for Infinite Data Sources.

    Shaden Smith, Kejun Huang, Nicholas Sidiropoulos, and George Karypis. SIAM Data Mining Conference, 2018.

  1. Distributed Representation of Multi-sense Words: A Loss Driven Approach.

    Saurav Manchanda and George Karypis. PAKDD 2018, LNAI 10938, pp. 337–349, 2018.

  1. Parallel cosine nearest neighbor graph construction.

    David C. Anastasiu and George Karypis. Journal of Parallel and Distributed Computing, 2017.

  1. Learning from Sets of Items in Recommender Systems.

    Mohit Sharma, F. Maxwell Harper, and George Karypis. 9th Intl. Conf. on Information, Process, and Knowledge Management (eKNOW), 2017.