Lee, Ickjai (2004) Efficient management of concepts and properties in conceptual spaces using data mining techniques. In: Proceedings of International Conference on Computational Intelligence for Modelling Control & Automation 2004. pp. 492-499. From: International Conference on Computational Intelligence for Modelling Control & Automation 2004, 12-14 July 2004, Gold Coast, QLD, Australia.

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Abstract

A conceptual space provides a robust infrastructure for many cognitive tasks including reasoning, perception, action, induction and semantics. Concepts and properties are two key elements in conceptual spaces. Efficient management of these primitives is a fundamental task and opens a road to the future applications. In this paper, we propose two mappings that build conceptual relational tables to which we can apply association rules mining approaches. Proposed approaches efficiently identify frequent patterns and intercorrelated domains that lead to effective management of concepts and properties in data-rich conceptual spaces.

Item ID:	7652
Item Type:	Conference Item (Research - E1)
ISBN:	978-1-74088-188-3
Keywords:	association rules mining; conceptual spaces; data mining; region connection calculus
Date Deposited:	28 Jul 2010 00:30
FoR Codes:	08 INFORMATION AND COMPUTING SCIENCES > 0804 Data Format > 080403 Data Structures @ 100%
SEO Codes:	89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
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