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Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R

Best Research Book in Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R

Author(s) Name:  Daniel S. Putler, Robert E. Krider

About the Book:

   Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the text is ideal for students in customer and business analytics or applied data mining as well as professionals in small- to medium-sized organizations.
   The book offers an intuitive understanding of how different analytics algorithms work. Where necessary, the authors explain the underlying mathematics in an accessible manner. Each technique presented includes a detailed tutorial that enables hands-on experience with real data. The authors also discuss issues often encountered in applied data mining projects and present the CRISP-DM process model as a practical framework for organizing these projects.
   Showing how data mining can improve the performance of organizations, this book and its R-based software provide the skills and tools needed to successfully develop advanced analytics capabilities.

Table of Contents

  • Purpose and Process
  • Database Marketing and Data Mining
  • A Process Model for Data Mining—CRISP-DM
  • Predictive Modeling Tools
  • Basic Tools for Understanding Data
  • Multiple Linear Regression
  • Logistic Regression
  • Lift Charts
  • Tree Models
  • Neural Network Models
  • Putting It All Together
  • Grouping Methods
  • Ward-s Method of Cluster Analysis and Principal Components
  • K-Centroids Partitioning Cluster Analysis
  • ISBN:  9781466503960

    Publisher:  Chapman and Hall/CRC

    Year of Publication:  2012

    Book Link:  Home Page Url