Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
FAQ for Eric Siegel’s New Book: The AI Playbook
  There are plenty of questions to answer about...
Announcing Eric Siegel’s New Book: The AI Playbook
  Dear Reader, I’m excited to announce the forthcoming,...
Predictive Analytics for the Call Center
 So, you just received your shiny new smart watch....
MLW Preview Video: Gulrez Khan, Data Science Lead at PayPal
 In anticipation of his upcoming keynote presentation at Predictive...
SHARE THIS:

By: Dean Abbott, President, Abbott Analytics 

 The Cross Industry Standard Process for Data Mining (CRISP-DM) is the leading published methodology for Data Mining (DM), and by extension, Predictive Analytics (PA). I use it routinely as I lead PA projects and when I teach appiled DM and PA courses. It was the subject of three KD-Nuggets polls, in 2002, 2004, and 2007) and nearly half of the responders stated they used it as the main methodology for DM (http://www.kdnuggets.com/polls/2007/data_mining_methodology.htm). There are six stages in the CRISP-DM process, including Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation and Deployment. There are many excellent books describing five

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.