CRISP-DM – Cross-Industry Standard Process for Data Mining – is the best known data mining methodology out there. It’s been around a long time but ownership/management of the consortium that developed it has gotten complex recently (the CRISP-DM.ORG site is down at present for instance but you can get some details in the CRISP-DM Wikipedia article).
CRISP-DM – Cross-Industry Standard Process for Data Mining – is the best known data mining methodology out there. It’s been around a long time but ownership/management of the consortium that developed it has gotten complex recently (the CRISP-DM.ORG site is down at present for instance but you can get some details in the CRISP-DM Wikipedia article).
As part of work at Decision Management Solutions (the consulting company I run) on a more complete methodology (one that includes business rules and integration of analytics and rules into Decision Management Systems) , our intern created a version of CRISP-DM in the Eclipse Process Framework (http://www.eclipse.org/epf/). This is an open source tool for managing methodologies both to allow developers of methodologies to share them and companies to customize them.
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One of the nice things about this approach is that you can generate a hypertext linked output. For CRISP-DM in this format, check out this zip file – http://jtonedm.com/wp/wp-content/uploads/CRISP-DMlib-v3.0.zip – and then open the top level Index file. You should find the same CRISP-DM methodology from the original publication moved from a document to a repository. As soon as the CRISP-DM website is back up and / or we can find the current “owners” we plan to transfer these assets to them and hopefully post them as open source in the EPF libraries. In the meantime just drop me a note with questions or comments. If you are intrigued by the EPF drop me a line for the editable libraries.
