Stochastic foundations for the case-driven acquisition of classification rules

Authors:
Megan Vazey
Affiliations:
Department of Computing, Division of Information and Communication Sciences, Macquarie University, Sydney, Australia
Venue:
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Year:
2006

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Abstract

A predictive mathematical model is presented for the expected case-driven transfer of classification rules. Key insights are offered for Knowledge Acquisition in expert systems, machine learning, artificial intelligence, ontology, and folksomonies.