FP-Growth in Discovery of Customer Patterns

Abstract : The paper describes a knowledge discovery platform and a novel process for finding association rules based on the algorithm FP-Growth and its variants. Built software solution has been optimized in terms of memory usage and computation time as well as the impact of all modifications made to the whole process of rules discovery The process of rule discovery is illustrated on a real database containing transactions of customers of the e-shop Delicatessen Alma24.
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Communication dans un congrès
Karl Aberer; Ernesto Damiani; Tharam Dillon. 1st International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Jun 2011, Campione d’Italia, Italy. Springer, Lecture Notes in Business Information Processing, LNBIP-116, pp.120-133, 2012, Data-Driven Process Discovery and Analysis. 〈10.1007/978-3-642-34044-4_7〉
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Jerzy Korczak, Piotr Skrzypczak. FP-Growth in Discovery of Customer Patterns. Karl Aberer; Ernesto Damiani; Tharam Dillon. 1st International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Jun 2011, Campione d’Italia, Italy. Springer, Lecture Notes in Business Information Processing, LNBIP-116, pp.120-133, 2012, Data-Driven Process Discovery and Analysis. 〈10.1007/978-3-642-34044-4_7〉. 〈hal-01515550〉

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