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RCASE
Root Cause Analysis Solver Engine (informally RCASE) is a proprietary algorithm developed from research originally at the Warwick Manufacturing Group (WMG) at Warwick University.〔(【引用サイトリンク】url=http://investing.businessweek.com/research/stocks/private/snapshot.asp?privcapId=244987022 )〕〔(【引用サイトリンク】url=http://issuu.com/manufacturingglobal/docs/manufacturing_global_-_november_201/23?e=12487208/9845812 )〕 RCASE development commenced in 2003 to provide an automated version of root cause analysis, the method of problem solving that tries to identify the root causes of faults or problems.
==Algorithm==
The algorithm has been built from the ground up to be particularly suitable for the following situations:
* 'dirty’ data
* incomplete data
* big data
* small datasets
* complex problems for example multi-modal failure or with more than one solution
RCASE is considered to be an innovator in the field of Predictive analytics and falls within the category of ''Classification algorithms''. Because it was built to handle the data types above, it has been proven to have many advantages over other types of classification algorithms and machine learning algorithms such as Decision Trees, Neural Networks and Regression techniques. It does not require hypotheses.〔(【引用サイトリンク】url=http://citizentekk.com/2013/11/05/manufacturing-4-0-industrialisation-data-driven-product-lifecycle/ )〕〔(【引用サイトリンク】url=http://www.supplychaindigital.com/logistics/3398/Removing-hypotheses-for-faultfinding-in-Six-Sigma-to-revolutionise-quality-management )〕
It has since been commercialised and made available for operating systems such as SAP,〔(【引用サイトリンク】url=http://www.informationweek.in/informationweek/news-analysis/277234/sap-boost-growth-opportunities-deliver-innovation-disruptive-solutions-partner-tie-ups )〕 Teradata and Microsoft.〔(【引用サイトリンク】url=http://www.news-sap.com/sap-spurs-innovation-by-powering-more-than-500-startups-globally-with-sap-hana/ )〕 RCASE originated from manufacturing and is widely used in applications such as Six Sigma, quality control and engineering, product design and warranty issues. However it is also used in other industries such as e-commerce, financial services and utilities where root cause analysis is required.
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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