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What is CRISP Data Mining Methodology (CRISP-DM)

Chapter 69
Encyclopedia of Networked and Virtual Organizations
The Cross Industry Standard Process for Data Mining that covers the data analysis process from problem definition to presentation and delivery of the resulting patterns. It was developed by Chapman et al. (2000) and is becoming a de facto industrial standard.
Published in Chapter:
A European Virtual Enterprise on Collaborative Data Mining and Decision Support
Dunja Mladenic (Jožef Stefan Institute, Slovenia) and Nada Lavrac (Jožef Stefan Institute, Slovenia)
Copyright: © 2008 |Pages: 6
DOI: 10.4018/978-1-59904-885-7.ch069
Abstract
One of the challenging research problems is to develop data mining and decision support integration techniques and to propose new methods for collaborative data mining. Advances in this area were achieved within the European project Data Mining and Decision Support for Business Competitiveness: A European Virtual Enterprise (SolEuNet, 2000-2003), in which a virtual enterprise model was proposed as a dynamic problem- solving link between a network of experienced data mining and decision support experts on the one hand, and customers in need of specific solutions on the other.
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