Volume 9 Number 2 (Feb. 2014)
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JSW 2014 Vol.9(2): 451-457 ISSN: 1796-217X
doi: 10.4304/jsw.9.2.451-457

A New Data Mining Approach Combined with Extension Set and Rough Set

Zhi-hang Tang, Wen-bin Tian
School of Computer and Communication, Hunan Institute of Engineering Xiangtan 411104, China

Abstract—Extension data mining is a product combining extenics with data mining. Establishing the extenics provides a new idea and method for data mining and opens up a new research direction for data mining. Using the extenics method of combining the data mining technology not only can access to static knowledge, but also can dig to realization of knowledge. By using the theory and method of Extenics, it can mine the knowledge from database which is relative to solve contradictory problems. And the knowledge includes the extension classification knowledge, conductive knowledge and other knowledge associated with transformation, which collectively called extension knowledge. Extension data mining can play a role in classification transformation, finding the root causes of the problem, identifying potential transformation knowledge. Finally, how to tap new customers and how to recommend an appropriate brand to new customers, Research results indicate that extension data mining can provide effective support for decision-making of enterprise.

Index Terms—extenics, rough set, extension data mining (EDM), attributes reduction

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Cite: Zhi-hang Tang, Wen-bin Tian, "A New Data Mining Approach Combined with Extension Set and Rough Set," Journal of Software vol. 9, no. 2, pp. 451-457, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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