Inproceedings,
Einstein: An Interactive Inductive Knowledge-Acquisition Tool
Proceedings of the Sixth Banff Knowledge Acquisition for Knowledge-Based Systems Workshop, page (36)1-16. (1991)
Abstract
Einstein is a knowledge acquisition system that incorporates data-driven inductive rule development and refinement in a user driven production rule development and evaluation environment. This allows the user and the induction system to interact as a cooperative knowledge acquisition team. Unique features of this system include efficient automated inductive refinement of existing production rules, interactive user management of machine learning facilities, including local and global guidance, interactive specification of key examples and counter-examples and interactive case-based rule assessment.
