Notice of Retraction A concept simplification algorithm in Insurance database design
Kaige Yan, Xi Wang, Yu Tang, Nannan Wang, Zihao Zhu · Advanced Information Management and Service · 2010
In insurance industry, frequent business variation brings new problems to Insurance database design: serious complexity, difficulties in database maintenance and updating, low efficiency in the inquiry and reconstruction of components. Formal Concept Analysis (FCA) is a technique that bases on the order theory, which can show concepts and their hierarchical structure and well solve problems faced in insurance database design. But the inaccuracy of data and tiny difference between concepts will lead to a too complex Hasse diagram that cannot be used in database design. So we develop an algorithm that simplifies concepts. It uses redundancy as a change for abstraction, which makes FCA adaptive for insurance database design and hierarchical structure more clear. We select six representative kinds of insurance policies and create concepts using FCA. Then simplify the concepts using the algorithm that this paper develops. Similar concepts were combined and the number of concepts is decreased to eleven. Each concept can be easily turned into entity set in database.