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 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.