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Predictive modeling with SAS Enterprise Miner practical solutions for business applications

Written for business analysts, data scientists, statisticians, students, predictive modelers, and data miners, this comprehensive text provides examples that will strengthen your understanding of the essential concepts and methods of predictive modeling. --

Bibliographic Details
Main Author: Sarma, Kattamuri S.
Format: eBook
Language:English
Published: Cary, NC SAS Institute 2017
Edition:Third edition
Subjects:
Data Mining / Fast
Management / Data Processing / Fast
Computers / Data Processing / Bisacsh
Management / Data Processing / Http://id.loc.gov/authorities/subjects/sh85080339
Business & Economics / Management / Bisacsh
Sas (computer File) / Http://id.loc.gov/authorities/names/n88028236
Business / Data Processing / Http://id.loc.gov/authorities/subjects/sh85018264
Business / Data Processing / Fast
Data Mining / Http://id.loc.gov/authorities/subjects/sh97002073
Sas (computer File) / Fast
Statistics / Data Processing / Http://id.loc.gov/authorities/subjects/sh85127583
Gestion / Informatique
Enterprise Miner / Http://id.loc.gov/authorities/names/n00074578
Regression Analysis / Computer Programs / Http://id.loc.gov/authorities/subjects/sh85112393
Statistique / Informatique
Statistics / Data Processing / Fast
Enterprise Miner / Fast
Regression Analysis / Computer Programs / Fast
Exploration De Données (informatique)
Business & Economics / Industrial Management / Bisacsh
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Includes bibliographical references and index
  • Chapter 1: Research Strategy
  • Chapter 2: Getting Started with Predictive Modeling
  • Chapter 3: Variable Selection and Transformation of Variables
  • Chapter 4: Building Decision Tree Models to Predict Response and Risk
  • Chapter 5: Neural Network Models to Predict Response and Risk
  • Chapter 6: Regression Models
  • Chapter 7: Comparison and Combination of Different Models
  • Chapter 8: Customer Profitability
  • Chapter 9: Introduction to Predictive Modeling with Textual Data

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