퍼지 결정 트리를 이용한 효율적인 데이터 마이닝 알고리즘 = Efficent Data Mining Algorthm Using Fuzzy Decision Tree

다국어 초록 (Multilingual Abstract)

Across a wide variety of fields, data are being collected and accmulated at a dramatic pace. There is urgent need to find useful patterns from large databases. The subject of KDD is development of automatic and intelligent tools and technologies to find useful knowledge from databases. In this paper, we propose an efficient data mining algorithm using fuzzy decision tree. It can generate simple and comprehensible rules describing data. The proposed algorithm is composed of two passes: the first pass generates fuzzy membership functions from histogram analysis. While the second pass constructs a fuzzy decision tree using the fuzzy membership functions generated in the first pass. We tested the algorithm with the IRIS data and the Breast Cancer Wisconsin data. The Experiment results show that our method is efficient.