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政大典藏 > College of Commerce > Department of Accounting > Periodical Articles > Item 140.119/64035

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/64035

Title:	An Analytic Apporach to Select Data Mining for Business Decision
Authors:	Seng, Jia-Lang;Chen, T.C. 諶家蘭;Chen, T. C.
Contributors:	會計系
Keywords:	Data mining;Business decision;Selection model
Date:	2010-12
Issue Date:	2014-02-19 17:09:06 (UTC+8)
Abstract:	Due to the information technology improvement and the growth of internet, enterprises are able to collect and to store huge amount of data. Using data mining technology to aid the data processing, information retrieval and knowledge generation process has become one of the critical missions to enterprise, so how to use data mining tools properly is user concern. Since not every user completely understand the theory of data mining, choosing the best solution from the functions which data mining tools provides is not easy. If user is not satisfied with the outcome of mining, communication with IT employees to adjust the software costs lots of time. To solve this problem, a selection model of data mining algorithms is proposed. By analyzing the content of business decision and application, user requirements will map to certain data mining category and algorithm. This method makes algorithm selection faster and reasonable to improve the efficiency of applying data mining tools to solve business problems.
Relation:	Expert Systems With Applications, 37(12), 8042-8057
Data Type:	article
DOI link:	http://dx.doi.org/10.1016/j.eswa.2010.05.083
DOI:	10.1016/j.eswa.2010.05.083
Appears in Collections:	[Department of Accounting] Periodical Articles

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