Database Marketing, Business Intelligence and Knowledge Discovery

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Knowledge Discovery Process Models CRISP-DM model is characterized by an easy to understand vocabulary and good documentation acknowledges the strong iterative nature of the process with loops between several of the steps successful and extensively applied model, which is mainly because of its grounding in practical, industrial, real-world Knowledge Discovery experience Engineering and Technology Management 26
Knowledge Discovery Process Models Six-step model by Cios and colleagues developed based on the CRISP-DM model by adopting it to academic research; main differences and extensions include: • providing more general, research-oriented description of the steps • introducing the Data Mining step instead of the Modeling step • introducing several new explicit feedback mechanisms. The CRISP-DM model has only three major feedback sources, while this model has more detailed feedback mechanisms • modification of the last step; the discovered for a particular domain may be applied in other domains includes six steps Engineering and Technology Management 27
Page 1 and 2: Database Marketing, Business Intell
Page 3 and 4: Database Marketing Classic databas
Page 5 and 6: BI Components and Architecture Engi
Page 7 and 8: Business Analytics Business anal
Page 9 and 10: Knowledge Discovery The process of
Page 11 and 12: Text Mining The application of da
Page 13 and 14: Data Life Cycle Process Engineering
Page 15 and 16: Knowledge Discovery Process KDP is
Page 17 and 18: Knowledge Discovery Process Models
Page 25: Knowledge Discovery Process Models
Page 35: Comparison of the Knowledge Discove

Database Marketing, Business Intelligence and Knowledge Discovery

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