Applying Predictive Analytics Finding Value in Data /

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...

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Detaylı Bibliyografya
Asıl Yazarlar: McCarthy, Richard V. (Yazar), McCarthy, Mary M. (Yazar), Ceccucci, Wendy (Yazar), Halawi, Leila (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edisyon:1st ed. 2019.
Konular:
Telecommunication.
Computational intelligence.
Data mining.
Quantitative research.
Communications Engineering, Networks.
Computational Intelligence.
Data Mining and Knowledge Discovery.
Data Analysis and Big Data.
Online Erişim:Full-text access
İçindekiler:
  • 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.

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