A Data Science Central Community
Recently I have come across a term, CRISP-DM - a data mining standard. Though this process is not a new one but I felt every analyst should know about commonly used Industry wide process. In this post I will explain about different phases involved in creating a data mining solution.
CRISP-DM, an acronym for Cross Industry Standard Process for Data Mining, is a data mining process model that includes commonly used approaches that data analytics Organizations use to tackle business problems related to Data mining. Polls conducted at one and the same website (KDNuggests) in 2002, 2004, 2007 and 2014 show that it was the leading methodology used by industry data miners who decided to respond to the survey.
CRISP-DM model is a phased approach to tackle a business problem. Different phases involved in the model are defined below:
For a detailed explanation please visit here
Comment
Thanks Williams Vorhies, great to meet you on the forum.
I was part of the original working group to develop CRISP-DM. It's simple, perhaps obvious, but therefore has stood the test of time.
© 2021 TechTarget, Inc.
Powered by
Badges | Report an Issue | Privacy Policy | Terms of Service
Most Popular Content on DSC
To not miss this type of content in the future, subscribe to our newsletter.
Other popular resources
Archives: 2008-2014 | 2015-2016 | 2017-2019 | Book 1 | Book 2 | More
Most popular articles
You need to be a member of AnalyticBridge to add comments!
Join AnalyticBridge