GAM: a guidance enabled association mining environment
International Journal of Business Intelligence and Data Mining
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We propose and evaluate an agenda-and justification-basedarchitecture for discovery systems that selects the next tasks to perform. This framework has manydesirable properties: (1) it facilitates the encoding of general discovery strategies using a variety of backgroundknowledge, (2) t reasons about the appropriateness of the tasks being considered, and (3) it tailors its behavior toward a user 's interests. A prototype discovery program called HAMB demonstrates that both reasons andestimates of interestingness contribute to performance in the domains of protein crystallization and patient rehabilitation.