A novel concurrent relational association rule mining approach

Gabriela Czibula; István Gergely Czibula; Diana-Lucia Miholca; Liana Maria Crivei

doi:10.1016/j.eswa.2019.01.082

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JOURNAL ARTICLE

A novel concurrent relational association rule mining approach

Gabriela Czibula István Gergely Czibula Diana-Lucia Miholca Liana Maria Crivei

Year: 2019 Journal: Expert Systems with Applications Vol: 125 Pages: 142-156 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2019.01.082

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Keywords:

Association rule learning Computer science Data mining Relational database Set (abstract data type) Knowledge extraction Rough set Completeness (order theory) Process (computing) Mathematics

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Topics

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

Rough Sets and Fuzzy Logic

Physical Sciences → Computer Science → Computational Theory and Mathematics

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

A novel concurrent relational association rule mining approach

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