ANALYZING MINING PATTERNS USING FUZZY ART AND SOFT REGRESSION
2004 ◽
Vol 13
(04)
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pp. 931-944
Keyword(s):
The Real
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Data mining is widely used to solve real-world problems in engineering, science and business. Usually the results from data mining obtained through the traditional approaches are not interpretable in the real life scenario. This paper suggests an approach for logical interpretations of the clustered data. Our approach involves using fuzzy ART technique for clustering the data and then applying the soft regression technique for interpreting the results of the clustering. The proposed model provides better analysis of data for describing overlapping clusters. We used our model to analyze patterns in the advances data of a public sector bank. Analyses and experiments show the effectiveness of the proposed method.
1997 ◽
Vol 40
(1)
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pp. 8-13
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