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- Cross_Industry_Standard_Process_for_Data_Mining abstract "Cross Industry Standard Process for Data Mining, commonly known by its acronym CRISP-DM, was a data mining process model that describes commonly used approaches that data mining experts use to tackle problems. Polls conducted at one and the same website (KDNuggests) in 2002, 2004, 2007 and 2014 show that it was the leading methodology used by industry data miners who decided to respond to the survey. The only other data mining standard named in these polls was SEMMA. However, 3-4 times as many people reported using CRISP-DM. A review and critique of data mining process models in 2009 called the CRISP-DM the "de facto standard for developing data mining and knowledge discovery projects." Other reviews of CRISP-DM and data mining process models include Kurgan and Musilek's 2006 review, and Azevedo and Santos' 2008 comparison of CRISP-DM and SEMMA. Efforts to update the methodolgy started in 2006, but have As of 30 June 2015 not led to a new version, and the "Special Interest Group" (SIG) responsible along with the website has long disappeared (see History of CRISP-DM).".
- Cross_Industry_Standard_Process_for_Data_Mining thumbnail CRISP-DM_Process_Diagram.png?width=300.
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageID "3144369".
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageLength "9438".
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageOutDegree "18".
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageRevisionID "676378512".
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageWikiLink Category:Applied_data_mining.
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageWikiLink Daimler-Benz.
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageWikiLink Daimler_AG.
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageWikiLink Data_mining.
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageWikiLink Decision_Model_and_Notation.
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageWikiLink Decision_model.
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageWikiLink European_Strategic_Program_on_Research_in_Information_Technology.
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageWikiLink NCR_Corporation.
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageWikiLink OHRA.
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageWikiLink SEMMA.
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageWikiLink SPSS_Inc..
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageWikiLink SPSS_Modeler.
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageWikiLink Teradata.
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageWikiLink File:CRISP-DM_Process_Diagram.png.
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageWikiLinkText "Cross Industry Standard Process for Data Mining".
- Cross_Industry_Standard_Process_for_Data_Mining hasPhotoCollection Cross_Industry_Standard_Process_for_Data_Mining.
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageUsesTemplate Template:As_of.
- Cross_Industry_Standard_Process_for_Data_Mining wikiPageUsesTemplate Template:Reflist.
- Cross_Industry_Standard_Process_for_Data_Mining subject Category:Applied_data_mining.
- Cross_Industry_Standard_Process_for_Data_Mining hypernym Model.
- Cross_Industry_Standard_Process_for_Data_Mining type Person.
- Cross_Industry_Standard_Process_for_Data_Mining type Application.
- Cross_Industry_Standard_Process_for_Data_Mining comment "Cross Industry Standard Process for Data Mining, commonly known by its acronym CRISP-DM, was a data mining process model that describes commonly used approaches that data mining experts use to tackle problems. Polls conducted at one and the same website (KDNuggests) in 2002, 2004, 2007 and 2014 show that it was the leading methodology used by industry data miners who decided to respond to the survey. The only other data mining standard named in these polls was SEMMA.".
- Cross_Industry_Standard_Process_for_Data_Mining label "Cross Industry Standard Process for Data Mining".
- Cross_Industry_Standard_Process_for_Data_Mining sameAs Cross_Industry_Standard_Process_for_Data_Mining.
- Cross_Industry_Standard_Process_for_Data_Mining sameAs Cross_Industry_Standard_Process_for_Data_Mining.
- Cross_Industry_Standard_Process_for_Data_Mining sameAs Cross_Industry_Standard_Process_for_Data_Mining.
- Cross_Industry_Standard_Process_for_Data_Mining sameAs Cross_Industry_Standard_Process_for_Data_Mining.
- Cross_Industry_Standard_Process_for_Data_Mining sameAs m.08v8nd.
- Cross_Industry_Standard_Process_for_Data_Mining sameAs Q3003768.
- Cross_Industry_Standard_Process_for_Data_Mining sameAs Q3003768.
- Cross_Industry_Standard_Process_for_Data_Mining wasDerivedFrom Cross_Industry_Standard_Process_for_Data_Mining?oldid=676378512.
- Cross_Industry_Standard_Process_for_Data_Mining depiction CRISP-DM_Process_Diagram.png.
- Cross_Industry_Standard_Process_for_Data_Mining isPrimaryTopicOf Cross_Industry_Standard_Process_for_Data_Mining.