We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    Flat editorial illustration: The article contrasts passive follower totals with a behavioral path from attention and trust to cli
    Creator Analytics Beyond Follower Count: Seven Metrics That Measure Audience Behavior
    11 Min Read
    Flat editorial illustration: The article connects AI and marketing analytics with managerial judgment grounded in consumer behavi
    How an Online MBA in Marketing Connects AI and Data Analytics
    11 Min Read
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: CRISP-DM Data Mining Methodology in Hypertext Form
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > CRISP-DM Data Mining Methodology in Hypertext Form
Data Mining

CRISP-DM Data Mining Methodology in Hypertext Form

JamesTaylor
JamesTaylor
2 Min Read
CRISP-DM Data Mining Methodology in Hypertext Form
Photo by Tyna_Janoch on Pixabay (https://pixabay.com/photos/mine-extraction-coal-machine-2781686/)
SHARE

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.

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.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: A SaaS-editorial scene showing product usage, support patterns, and renewal feedback informing a fle
Using Product Usage Analytics and Support Data to Build a B2B Product Roadmap
Business Intelligence Infographic
From Hiring To Payroll: Managing HR Data Across Business Systems -- AI-generated illustration
From Hiring To Payroll: Managing HR Data Across Business Systems
Big Data Business Intelligence Infographic
Flat editorial illustration: The article is about automating the collection, preparation, and delivery of marketing data across p
From Data to Dashboards: 5 Marketing Reporting Automation Software Picks
Big Data Business Intelligence Exclusive
Flat editorial illustration: The article contrasts passive follower totals with a behavioral path from attention and trust to cli
Creator Analytics Beyond Follower Count: Seven Metrics That Measure Audience Behavior
Analytics Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Workforce Planning and HR Analytics
Data MiningData VisualizationDecision ManagementKnowledge ManagementRisk ManagementWorkforce AnalyticsWorkforce Data

Workforce Planning and HR Analytics

5 Min Read
Analytics Overkill: Dashboards, Analysis and Big Data in the US Election
AnalyticsBig DataData MiningData WarehousingPredictive AnalyticsWeb Analytics

Analytics Overkill: Dashboards, Analysis and Big Data in the US Election

5 Min Read
The Commoditization of Analytics
Business IntelligenceData MiningPredictive Analytics

The Commoditization of Analytics

7 Min Read
Join the real movers and shakers in Washington!
Business IntelligenceData MiningData Warehousing

Join the real movers and shakers in Washington!

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?