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On Explanation-Oriented Data Mining

On Explanation-Oriented Data Mining

Yiyu Yao
Copyright: © 2009 |Pages: 7
ISBN13: 9781605660103|ISBN10: 1605660108|EISBN13: 9781605660110
DOI: 10.4018/978-1-60566-010-3.ch130
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MLA

Yao, Yiyu. "On Explanation-Oriented Data Mining." Encyclopedia of Data Warehousing and Mining, Second Edition, edited by John Wang, IGI Global, 2009, pp. 842-848. https://doi.org/10.4018/978-1-60566-010-3.ch130

APA

Yao, Y. (2009). On Explanation-Oriented Data Mining. In J. Wang (Ed.), Encyclopedia of Data Warehousing and Mining, Second Edition (pp. 842-848). IGI Global. https://doi.org/10.4018/978-1-60566-010-3.ch130

Chicago

Yao, Yiyu. "On Explanation-Oriented Data Mining." In Encyclopedia of Data Warehousing and Mining, Second Edition, edited by John Wang, 842-848. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-010-3.ch130

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Abstract

The objective of data mining is to discover new and useful knowledge, in order to gain a better understanding of nature. This in fact is the goal of scientists when carrying out scientific research, independent in their various disciplines. This goal-oriented view enables us to re-examine data mining in a wider context of scientific research. The consequence after the immediate comparison between scientific research and data mining is that, an explanation discovery and evaluation task is added to the existing data mining framework. In this chapter, we elaborate the basic concerns and methods of explanation discovery and evaluation. Explanationoriented association mining is employed as a concrete example to show the whole framework.

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