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Explanation-Oriented Data Mining

Explanation-Oriented Data Mining

Yiyu Yao, Yan Zhao
Copyright: © 2005 |Pages: 6
ISBN13: 9781591405573|ISBN10: 1591405572|EISBN13: 9781591405597
DOI: 10.4018/978-1-59140-557-3.ch093
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MLA

Yao, Yiyu, and Yan Zhao. "Explanation-Oriented Data Mining." Encyclopedia of Data Warehousing and Mining, edited by John Wang, IGI Global, 2005, pp. 492-497. https://doi.org/10.4018/978-1-59140-557-3.ch093

APA

Yao, Y. & Zhao, Y. (2005). Explanation-Oriented Data Mining. In J. Wang (Ed.), Encyclopedia of Data Warehousing and Mining (pp. 492-497). IGI Global. https://doi.org/10.4018/978-1-59140-557-3.ch093

Chicago

Yao, Yiyu, and Yan Zhao. "Explanation-Oriented Data Mining." In Encyclopedia of Data Warehousing and Mining, edited by John Wang, 492-497. Hershey, PA: IGI Global, 2005. https://doi.org/10.4018/978-1-59140-557-3.ch093

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Abstract

Data mining concerns theories, methodologies, and, in particular, computer systems for knowledge extraction or mining from large amounts of data (Han & Kamber, 2000). The extensive studies on data mining have led to many theories, methodologies, efficient algorithms and tools for the discovery of different kinds of knowledge from different types of data. In spite of their differences, they share the same goal, namely, to discover new and useful knowledge, in order to gain a better understanding of nature.

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