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RULES DETECTING AND RULES-DATA MUTUAL ENHANCEMENT BASED ON FACTORS SPACE THEORY

Pei-Zhuang Wang () and Alex Jiang ()
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Pei-Zhuang Wang: 1434, Suzanne Drive, Allen TX 75002, USA
Alex Jiang: 39A Ingestre Street, Wanganui, New Zealand

International Journal of Information Technology & Decision Making (IJITDM), 2002, vol. 01, issue 01, 73-90

Abstract: This paper presents a new method of rules detecting about exploring hidden rules from a given knowledge base. The expended rule set forms a lattice that can be generated by the core. Not only does this method produce detecting rules, but also enhance data integrity and completeness. In addition, this paper introduces the concept of rules-data mutual enhancement, which can detect the ultimate relationship between data and rules with the utilization of two types of information resources: databases and knowledge bases. As a result, this paper makes initial endeavors to combine those two quite separated fields to promote the development of information technology.

Keywords: Rules detecting; rules-data mutual enhancement; factors space (search for similar items in EconPapers)
Date: 2002
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DOI: 10.1142/S0219622002000087

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