Notice of RetractionA concept simplification algorithm in Insurance database design

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

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.