Applying Predictive Analytics Finding Value in Data /

• Κύριοι συγγραφείς: McCarthy, Richard V. (Συγγραφέας, 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)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.