Wang, Kai Application of improved fuzzy kernel \(C\)-means cluster in commercial bank customer subdivision. (Chinese. English summary) Zbl 1141.68393 J. Hunan Inst. Sci. Technol., Nat. Sci. 20, No. 1, 24-27 (2007). Summary: With the completion of the tasks in the data centralization phase of commercial bank information process, many commercial banks will be confronted with how to extract valuable information and knowledge from a large number of data so as to improve the quality of decision-making in corporation and market competitiveness. The emergence of data mining technology makes it possible to change data into knowledge. In this paper, combining with the commercial banks’ practice, the application of fuzzy kernel \(C\)-means cluster in improving the rate of success in bank services is discussed. MSC: 68P15 Database theory 68T05 Learning and adaptive systems in artificial intelligence 91B28 Finance etc. (MSC2000) Keywords:data mining; kernel cluster; commercial banks; customer relationship management PDFBibTeX XMLCite \textit{K. Wang}, J. Hunan Inst. Sci. Technol., Nat. Sci. 20, No. 1, 24--27 (2007; Zbl 1141.68393)