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SEMMA
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SEMMA : ウィキペディア英語版
SEMMA
''SEMMA'' is an acronym that stands for ''Sample'', ''Explore'', ''Modify'', ''Model'' and ''Assess''. It is a list of sequential steps developed by SAS Institute Inc., one of the largest producers of statistics and business intelligence software. It guides the implementation of data mining applications.〔Azevedo, A. and Santos, M. F. (KDD, SEMMA and CRISP-DM: a parallel overview ). In Proceedings of the IADIS European Conference on Data Mining 2008, pp 182-185.〕 Although SEMMA is often considered to be a general data mining methodology, SAS claims that it is "rather a logical organization of the functional tool set of" one of their products, SAS Enterprise Miner, "for carrying out the core tasks of data mining".〔(SAS Enterprise Miner website )〕
==Background==
In the expanding field of data mining, there has been a call for a standard methodology or a simply list of best practices for the diversified and iterative process of data mining that users can apply to their data mining projects regardless of industry. While the Cross Industry Standard Process for Data Mining or CRISP-DM, founded by the European Strategic Program on Research in Information Technology initiative, aimed to create a neutral methodology, SAS also offered a pattern to follow in its data mining tools.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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