A rule-based similarity measure

Michèle Sebag (1) , Marc Schoenauer (2)

1 LMS - Laboratoire de mécanique des solides
2 CMAP - Centre de Mathématiques Appliquées

An induction-based method for retrieving similar cases and/or easily adaptable cases is presented in a 3-steps process: first, a rule set is learned from a data set; second, a reformulation of the problem domain is derived from this ruleset; third, a surface similarity with respect to the reformulated problem appears to be a structural similarity with respect to the initial representation of the domain. This method achieves some integration between machine learning and case-based reasoning: it uses both compiled knowledge (through the similarity measure and the ruleset it is derived from) and instanciated knowledge (through the cases).

Domaines: Mécanique des structures [physics.class-ph]

Michèle Sebag, Marc Schoenauer. A rule-based similarity measure. European Workshop on Case-Based Reasoning EWCBR 1993, Nov 1993, Kaiserslautern, Germany. pp.119-131, ⟨10.1007/3-540-58330-0_81⟩. ⟨hal-03526147⟩