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    Author information
    First name: Michail
    Last name: Vlachos
    DBLP: 04/2562
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    Conference paper
    Michail Vlachos.
    Similarity Measures.
    Encyclopedia of Machine Learning and Data Mining 2017 (0) 2017
    Conference paper
    Michail Vlachos.
    Dimensionality Reduction.
    Encyclopedia of Machine Learning and Data Mining 2017 (0) 2017
    Book chapter
    George Kollios, Michail Vlachos, Dimitrios Gunopulos.
    Trajectories, Discovering Similar.
    Encyclopedia of GIS. 2017 (0) 2017
    Conference paper
    Reinhard Heckel, Michail Vlachos, Thomas P. Parnell, Celestine Dünner.
    Scalable and Interpretable Product Recommendations via Overlapping Co-Clustering.
    33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017 2017 (0) 2017
    Conference paper
    Johannes Schneider, Michail Vlachos.
    Scalable density-based clustering with quality guarantees using random projections.
    Data Min. Knowl. Discov. 2017, Volume 31 (0) 2017
    Conference paper
    Reinhard Heckel, Michail Vlachos.
    Private and Right-Protected Big Data Publication: An Analysis.
    Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017. 2017 (0) 2017
    Conference paper
    Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Michail Vlachos, Haralampos Pozidis.
    High-Performance Recommender System Training Using Co-Clustering on CPU/GPU Clusters.
    46th International Conference on Parallel Processing, ICPP 2017, Bristol, United Kingdom, August 14-17, 2017 2017 (0) 2017
    Conference paper
    Reinhard Heckel, Michail Vlachos.
    Interpretable recommendations via overlapping co-clusters.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Michail Vlachos, Vassilios G. Vassiliadis, Reinhard Heckel, A. Labbi.
    Toward interpretable predictive models in B2B recommender systems.
    IBM Journal of Research and Development 2016, Volume 60 (0) 2016
    Journal article
    Michail Vlachos, Nikolaos M. Freris, Anastasios Kyrillidis.
    Compressive mining: fast and optimal data mining in the compressed domain.
    VLDB J. 2015, Volume 24 (0) 2015
    Show item 1 to 10 of 85  

    Your query returned 85 matches in the database.