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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. Oracle Data Mining - Wikipedia

    en.wikipedia.org/wiki/Oracle_Data_Mining

    Oracle Data Miner provides a graphical user interface that steps the user through the process of creating, testing, and applying models (e.g. along the lines of the CRISP-DM methodology). Application- and tools-developers can embed predictive and descriptive mining capabilities using PL/SQL or Java APIs .

  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. Decision Model and Notation - Wikipedia

    en.wikipedia.org/wiki/Decision_Model_and_Notation

    it provides an effective requirements modeling approach for Predictive Analytics projects and fulfills the need for "business understanding" in methodologies for advanced analytics such as CRISP-DM; it provides a standard notation for decision tables, the most common style of business rules in a BRMS

  6. SPSS Modeler - Wikipedia

    en.wikipedia.org/wiki/SPSS_Modeler

    The graphical user interface is written in Java. IBM SPSS Modeler 14.0 was the first release of Modeler by IBM. IBM SPSS Modeler 15, released in June 2012, introduced significant new functions for social network analysis and entity analytics .

  7. 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]

  8. Chesapeake Regional Information System for our Patients

    en.wikipedia.org/wiki/Chesapeake_Regional...

    Additional Committee responsibilities include assessing the value and relevance of reports for a wide array of users, providing guidance on data tools for report dissemination, such as user guides and other information to enhance understanding of the analysis, and to provide direction and vision in short, mid, and long-term planning of services.

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

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

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