Data Swapping: Balancing Privacy against Precision in Mining for Logic Rules
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
A Human-Computer Interactive Method for Projected Clustering
IEEE Transactions on Knowledge and Data Engineering
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Inductive inference techniques that allow symbolic representation of the acquired knowledge facilitate knowledge validation, revision and understanding by human experts. EVOPROL~v~1.1(EVOlutionary PROpositional Logic) is an inductive, efficient, versatile system for supervised learning of logic rules using a genetic algorithm. EVOPROL contributes to computer assisted knowledge acquisition because it allows discovery of flexible and/or alternative rules from examples. The approach presented here integrates sources of knowledge and establishes collaboration between the genetic searcher and the human expert.