An Efficient Approach for Extraction Positive and Negative Association Rules from Big Data

Parfait Bemarisika, Harrimann Ramanantsoa, André Totohasina. An Efficient Approach for Extraction Positive and Negative Association Rules from Big Data. In Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar R. Weippl, editors, Machine Learning and Knowledge Extraction - Second IFIP TC 5, TC 8/WG 8.4, 8.9, TC 12/WG 12.9 International Cross-Domain Conference, CD-MAKE 2018, Hamburg, Germany, August 27-30, 2018, Proceedings. Volume 11015 of Lecture Notes in Computer Science, pages 79-97, Springer, 2018. [doi]

Abstract

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