Applying Predictive Analytics Finding Value in Data /

• Main Authors: McCarthy, Richard V. (Author, http://id.loc.gov/vocabulary/relators/aut), McCarthy, Mary M. (http://id.loc.gov/vocabulary/relators/aut), Ceccucci, Wendy (http://id.loc.gov/vocabulary/relators/aut), Halawi, Leila (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Electrical engineering.; Computational intelligence.; Data mining.; Big data.; Communications Engineering, Networks.; Computational Intelligence.; Data Mining and Knowledge Discovery.; Big Data/Analytics.

This textbook presents a practical approach to predictive analytics for classroom learning. It focuses on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex...

Table of Contents:

• Introduction to Predictive Analytics
• Know Your Data - Data Preparation
• What do Descriptive Statistics Tell Us
• The First of the Big Three - Regression
• The Second of the Big Three - Decision Trees
• The Third of the Big Three - Neural Networks
• Model Comparisons and Scoring
• Appendix A
• Data Dictionary for the Automobile Insurance Claim Fraud Data Example
• Conclusion.