Opportunistic Adaptation Knowledge Discovery
  Adaptation has long been considered as the Achilles' heel of case-based
reasoning since it requires some domain-specific knowledge that is difficult to
acquire. In this paper, two strategies are combined in order to reduce the
knowledge engineering cost induced by the adaptation knowledge (CA) acquisition
task: CA is learned from the case base by the means of knowledge discovery
techniques, and the CA acquisition sessions are opportunistically triggered,
i.e., at problem-solving time.
