Adaptation Knowledge Discovery from a Case Base

TL;DR

This paper presents CABAMAKA, a knowledge discovery system that extracts adaptation knowledge from case bases to improve case-based reasoning, demonstrated in breast cancer treatment decision support.

Contribution

It introduces a novel AKA system based on knowledge discovery principles that explores case base variations to automatically acquire adaptation knowledge.

Findings

Successfully tested in breast cancer treatment decision support

Demonstrates effective extraction of adaptation knowledge from case variations

Enhances case-based reasoning with automated adaptation knowledge acquisition

Abstract

In case-based reasoning, the adaptation step depends in general on domain-dependent knowledge, which motivates studies on adaptation knowledge acquisition (AKA). CABAMAKA is an AKA system based on principles of knowledge discovery from databases. This system explores the variations within the case base to elicit adaptation knowledge. It has been successfully tested in an application of case-based decision support to breast cancer treatment.