RULES DETECTING AND RULES-DATA MUTUAL ENHANCEMENT BASED ON FACTORS SPACE THEORY
Peizhuang Wang, ALEX JIANG · International Journal of Information Technology & Decision Making · 2002
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.