Putler, Daniel S.
Customer and business analytics : applied data mining for business decision making using R / Daniel S. Putler, Robert E. Krider. - Boca Raton, FL : CRC Press, c2012. - xxvi, 289 p. : ill. ; 26 cm. - Chapman & Hall/CRC the R series . - Chapman & Hall/CRC the R series. .
Includes bibliographical references and index.
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.
9781466503960 1466503963
(YBP)7116456
2012008925
GBB221015
Database marketing--Software.
Data mining.
Decision making--Data processing.
R (Computer program language)
Database management.
HF5415.126 / .P88 2012
658.4/0302855133
Customer and business analytics : applied data mining for business decision making using R / Daniel S. Putler, Robert E. Krider. - Boca Raton, FL : CRC Press, c2012. - xxvi, 289 p. : ill. ; 26 cm. - Chapman & Hall/CRC the R series . - Chapman & Hall/CRC the R series. .
Includes bibliographical references and index.
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.
9781466503960 1466503963
(YBP)7116456
2012008925
GBB221015
Database marketing--Software.
Data mining.
Decision making--Data processing.
R (Computer program language)
Database management.
HF5415.126 / .P88 2012
658.4/0302855133