  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.
