Analytical Data Model to be used within the Data Mining Tool Deliverable Template

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This article is a stub. It is currently undergoing major changes as it is in the very early stages of development and is only a placeholder. Please help improve MIKE2.0 by adding to this article.

This deliverable template is used to describe a sample of the MIKE2.0 Methodology (typically at a task level). More templates are now being added to MIKE2.0 as this has been a frequently requested aspect of the methodology. Contributors are strongly encouraged to assist in this effort.

Deliverable templates are illustrative as opposed to fully representative. Please help add examples to this template that are representative of the proposed output.

The Analytical Data Model to be used within the Data Mining Tool deliverable is an output of the Design Data Mining Procedures task. The process for Data Mining is different from that for decisions support: whereas a DSS system provides answers to questions, Data Mining is about discovering new questions and the associated answers. Data Mining is a discovery-driven process involving the use of detailed and historical data adipex side effects. Its applications are most commonly focused around Marketing Analystics, Fraud Detection, Risk Management and Finance.

= Examples

Example for a Analytical Data Model to be used within a Data Mining Tool: forfait sosh rio orange portabilité calcul IMC rio orange