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https://ah.lib.nccu.edu.tw/handle/140.119/64035
題名: | An Analytic Apporach to Select Data Mining for Business Decision | 作者: | Seng, Jia-Lang ; Chen, T.C. 諶家蘭;Chen, T. C. |
貢獻者: | 會計系 | 關鍵詞: | Data mining;Business decision;Selection model | 日期: | Dec-2010 | 上傳時間: | 19-Feb-2014 | 摘要: | 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. | 關聯: | Expert Systems With Applications, 37(12), 8042-8057 | 資料類型: | article | DOI: | http://dx.doi.org/10.1016/j.eswa.2010.05.083 |
Appears in Collections: | 期刊論文 |
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