2011/11/28 by Souad Bouasker, Bouasker, Souad, Tarek Hamrouni +3
Computer Science · #Advanced Clustering Algorithms Research #Data Mining Algorithms and Applications #Databases (cs.DB) #FOS: Computer and information sciences #Rough Sets and Fuzzy Logic #cs.DB
paper · pdf · doi:10.48550/arxiv.1111.6552
16 pages, 3 figures
openalex publication_date 2011/11/28 · arxiv created 2014/01/24 · arxiv updated 2015/03/19 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
Correlated rare pattern mining is an interesting issue in Data mining. In this respect, the set of correlated rare patterns w.r.t. to the bond correlation measure was studied in a recent work, in which the RCPR concise exact representation of the set of correlated rare patterns was proposed. However, none algorithm was proposed in order to mine this representation and none experiment was carried out to evaluate it. In this paper, we introduce the new RcprMiner algorithm allowing an efficient extraction of RCPR. We also present the IsRCP algorithm allowing the query of the RCPR representation in addition to the RCPRegeneration algorithm allowing the regeneration of the whole set RCP of rare correlated patterns starting from this representation. The carried out experiments highlight interesting compactness rates offered by RCPR. The effectiveness of the proposed classification method, based on generic rare correlated association rules derived from RCPR, has also been proved in the context of intrusion detection.