Minimizing the minus sides of mining data

John Wang, Xiaohua Hu, Dan Zhu

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Abstract

This research explores the effectiveness of data mining in a commercial perspective. Statistical issues are specified first. Data accuracy and standardization follow. Diverse problems related to the information used for conducting a data mining research are identified. Also, the technical challenges and potential roadblocks in an organization itself are described. Certainly, minimizing the possible negative side of data mining, hopefully, without interfering its tremendous potentials, is a challenging task we are facing.

Original languageEnglish
Title of host publicationData Mining and Knowledge Discovery Technologies
PublisherIGI Global
Pages254-279
Number of pages26
ISBN (Print)9781599049601
DOIs
StatePublished - 1 Dec 2008

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Wang, J., Hu, X., & Zhu, D. (2008). Minimizing the minus sides of mining data. In Data Mining and Knowledge Discovery Technologies (pp. 254-279). IGI Global. https://doi.org/10.4018/978-1-59904-960-1.ch011
Wang, John ; Hu, Xiaohua ; Zhu, Dan. / Minimizing the minus sides of mining data. Data Mining and Knowledge Discovery Technologies. IGI Global, 2008. pp. 254-279
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Wang, J, Hu, X & Zhu, D 2008, Minimizing the minus sides of mining data. in Data Mining and Knowledge Discovery Technologies. IGI Global, pp. 254-279. https://doi.org/10.4018/978-1-59904-960-1.ch011

Minimizing the minus sides of mining data. / Wang, John; Hu, Xiaohua; Zhu, Dan.

Data Mining and Knowledge Discovery Technologies. IGI Global, 2008. p. 254-279.

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

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Wang J, Hu X, Zhu D. Minimizing the minus sides of mining data. In Data Mining and Knowledge Discovery Technologies. IGI Global. 2008. p. 254-279 https://doi.org/10.4018/978-1-59904-960-1.ch011