Volume 9 Number 2 (Feb. 2014)
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JSW 2014 Vol.9(2): 451-457
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 combiningextenics with data mining. Establishing the extenicsprovides a new idea and method for data mining and opensup a new research direction for data mining. Using theextenics method of combining the data mining technologynot only can access to static knowledge, but also can dig torealization of knowledge. By using the theory and method ofExtenics, it can mine the knowledge from database which isrelative to solve contradictory problems. And the knowledgeincludes the extension classification knowledge, conductiveknowledge and other knowledge associated withtransformation, which collectively called extensionknowledge. Extension data mining can play a role inclassification transformation, finding the root causes of theproblem, identifying potential transformation knowledge.Finally, how to tap new customers and how to recommendan appropriate brand to new customers, Research resultsindicate that extension data mining can provide effectivesupport for decision-making of enterprise.

Keywords

  • extenics
  • rough set
  • extension data mini
jsw0902-27

How to Cite

Copied

Zhi-hang Tang and 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. https://doi.org/ 10.4304/jsw.9.2.451-457

Copyright & License

Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Biannually

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, CNKI, 

  • Google Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: editor@jsoftware.us

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