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    Université de Fribourg

    Statix - statistical type inference on linked data

    Lutov, Artem ; Roshankish, Soheil ; Khayati, Mourad ; Cudre-Mauroux, Philippe

    In: 2018 IEEE International Conference on Big Data (Big Data), 2018, p. 2253–2262

    Large knowledge bases typically contain data adhering to various schemas with incomplete and/or noisy type information. This seriously complicates further integration and post-processing efforts, as type information is crucial in correctly handling the data. In this paper, we introduce a novel statistical type inference method, called StaTIX, to effectively infer instance types in Linked Data...

    Université de Fribourg

    Clubmark: a parallel isolation framework for benchmarking and profiling clustering algorithms on numa architectures

    Lutov, Artem ; Khayati, Mourad ; Cudre-Mauroux, Philippe

    In: 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 2018, p. 1481–1486

    There is a great diversity of clustering and community detection algorithms, which are key components of many data analysis and exploration systems. To the best of our knowledge, however, there does not exist yet any uniform benchmarking framework, which is publicly available and suitable for the parallel benchmarking of diverse clustering algorithms on a wide range of synthetic and...