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

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

    Daimler-Benz had a significant data mining team. OHRA was starting to explore the potential use of data mining. 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]

  3. 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 ...

  4. 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.

  5. 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]

  6. 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)

  7. Guided analytics - Wikipedia

    en.wikipedia.org/wiki/Guided_analytics

    [3] [7] In fact, guided analytics can also be used in each phase of the CRISP-DM data science cycle. [3] In 2018 and 2019, KNIME has released a number of analytical blueprints for guided analytics workflows with a special focus on automated machine learning. [4] [8] KNIME proposed guided analytics as a key mechanism to abstract data science for ...

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

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

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  9. Examples of data mining - Wikipedia

    en.wikipedia.org/wiki/Examples_of_data_mining

    Spatial data mining is the application of data mining methods to spatial data. The end objective of spatial data mining is to find patterns in data with respect to geography. So far, data mining and Geographic Information Systems (GIS) have existed as two separate technologies, each with its own methods, traditions, and approaches to ...