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  2. Cross-industry standard process for data mining - Wikipedia

    en.wikipedia.org/wiki/Cross-industry_standard...

    The first version of the methodology was presented at the 4th CRISP-DM SIG Workshop in Brussels in March 1999, [5] and published as a step-by-step data mining guide later that year. [6] Between 2006 and 2008, a CRISP-DM 2.0 SIG was formed, and there were discussions about updating the CRISP-DM process model. [7]

  3. Talk : Cross-industry standard process for data mining

    en.wikipedia.org/wiki/Talk:Cross-industry...

    6 Standard Methodology for Analytical Models (SMAM) 1 comment. 7 Source link for "CRISP-DM 1.0 Step-by-step data mining guide"? (current one is wrong)

  4. Design for Six Sigma - Wikipedia

    en.wikipedia.org/wiki/Design_for_Six_Sigma

    DFSS is claimed to be better suited for encapsulating and effectively handling higher number of uncertainties including missing and uncertain data, both in terms of acuteness of definition and their absolute total numbers with respect to analytic s and data-mining tasks, six sigma approaches to data-mining are popularly known as DFSS over CRISP ...

  5. DMAIC - Wikipedia

    en.wikipedia.org/wiki/DMAIC

    Control is the final stage within the DMAIC improvement method. In this step, the following processes are undertaken: amend ways of working, quantify and sign-off benefits, track improvement, officially close the project, and gain approval to release resources.

  6. SEMMA - Wikipedia

    en.wikipedia.org/wiki/SEMMA

    SEMMA mainly focuses on the modeling tasks of data mining projects, leaving the business aspects out (unlike, e.g., CRISP-DM and its Business Understanding phase). Additionally, SEMMA is designed to help the users of the SAS Enterprise Miner software. Therefore, applying it outside Enterprise Miner may be ambiguous. [3]

  7. File:CRISP-DM Process Diagram.png - Wikipedia

    en.wikipedia.org/wiki/File:CRISP-DM_Process...

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate

  8. Rough set - Wikipedia

    en.wikipedia.org/wiki/Rough_set

    A decision-theoretic rough set approach for dynamic data mining. IEEE Transactions on Fuzzy Systems, 23(6): 1958-1970; Chen H., Li T., Luo C., Horng S-J., Wang G. (2014). A rough set-based method for updating decision rules on attribute values' coarsening and refining, IEEE Transactions on Knowledge and Data Engineering, 26(12): 2886-2899

  9. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    There have been some efforts to define standards for the data mining process, for example, the 1999 European Cross Industry Standard Process for Data Mining (CRISP-DM 1.0) and the 2004 Java Data Mining standard (JDM 1.0). Development on successors to these processes (CRISP-DM 2.0 and JDM 2.0) was active in 2006 but has stalled since.