Proactive Data Mining with Decision Trees

• Main Authors: Dahan, Haim (Author), Cohen, Shahar (Author), Rokach, Lior (Author), Maimon, Oded (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2014.
• Series: SpringerBriefs in Electrical and Computer Engineering,
• Subjects: Computer science.; Data mining.; Information storage and retrieval.; Computer Science.; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).

This book explores a proactive and domain-driven method to classification tasks. This novel proactive approach to data mining not only induces a model for predicting or explaining a phenomenon, but also utilizes specific problem/domain knowledge to suggest specific actions to achieve optimal changes...

Table of Contents:

• Introduction
• Proactive Data Mining: A General Approach
• Proactive Data Mining Using Decision Trees
• Proactive Data Mining in the Real World: Case Studies
• Sensitivity Analysis of Proactive Data Mining
• Conclusions.