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Correlated rare pattern mining is an interesting issue in Data mining. Inthis respect, the set of correlated rare patterns w.r.t. to the bondcorrelation measure was studied in a recent work, in which the RCPR conciseexact representation of the set of correlated rare patterns was proposed.However, none algorithm was proposed in order to mine this representation andnone experiment was carried out to evaluate it. In this paper, we introduce thenew RcprMiner algorithm allowing an efficient extraction of RCPR. We alsopresent the IsRCP algorithm allowing the query of the RCPR representation inaddition to the RCPRegeneration algorithm allowing the regeneration of thewhole set RCP of rare correlated patterns starting from this representation.The carried out experiments highlight interesting compactness rates offered byRCPR. The effectiveness of the proposed classification method, based on genericrare correlated association rules derived from RCPR, has also been proved inthe context of intrusion detection.

Nouvelle repr\'esentation concise exacte des motifs corr\'el\'es rares : Application \`a la d\'etection d'intrusions