Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner
| Author | : | |
| Rating | : | 4.44 (676 Votes) |
| Asin | : | 0470084855 |
| Format Type | : | paperback |
| Number of Pages | : | 298 Pages |
| Publish Date | : | 2016-08-13 |
| Language | : | English |
DESCRIPTION:
PATEL, PHD, is Chairman, Founder, and Chief Technology Officer of Cambridge-based Cytel Incorporated and a Visiting Professor in the Engineering Systems Division at the Massachusetts Institute of Technology.PETER C. BRUCE is President and owner of statistics, the leading provider of professional development courses in statistics.. GALIT SHMUELI, PHD, is Assistant Professor of Statistics in the
have done a wonderful job in presenting the field of data mining…a welcome addition to the literature." (Computing Reviews, August 15, 2007) "This book helps readers understand the beneficial relationship that can be established between data mining and smart business practices." (IT Professional, January/February 2007)"The book contains real case studies, providing yet further demonstrations of the extraordinary data wealth of the modern commercial world." (International Statistical Review, 2007)"…full of vivid and thought-provoking anecdotes…needs to be read by anyone with a serious interest in research and marketing." (Research Magazine, August 2007). "Shmueli et al
Amazon Customer said Four Stars. Excellent. I recommand it.. "Excellent choice for business analysts that want a brief exposure with case studies (and software)" according to Keith McCormick. I am a data mining trainer and consultant. This book not only has good content, but it offers a 90 day license of software with which to rehearse the case study examples. My comments on the book will be accompanied by comments on the software. The book is the perfect fit for its intended audience. With the caution that certain readers will do better elsewhere, I think it is a great book. The major topics are addressed, albeit briefly, with. Needs Serious Instructor Guidance Jessica Jean This book IS NOT for those who want to learn on their own. While this book does try to engage the learner by offering examples using storytelling, it fails on an instructional level. It doesn't fully explain the when or why behind the theory or application of data mining, and each aspect of it. It includes many equations that it just expects people to know. If you do know know orthogonal equations or linear regression by heart, this book w
Learn how to develop models for classification, prediction, and customer segmentation with the help of Data Mining for Business IntelligenceIn today's world, businesses are becoming more capable of accessing their ideal consumers, and an understanding of data mining contributes to this success. An abundant amount of exercises and examples are provided to motivate learning and understanding.Data Mining for Business Intelligence:Provides both a theoretical and practical understanding of the key methods of classification, prediction, reduction, exploration, and affinity analysisFeatures a business decision-making context for these key methodsIllustrates the application and interpretation of these methods using real business cases and dataThis book helps readers understand the beneficial relationship that can be established between data mining and smart business practices, and is an excellent learning tool for creating valuable strategies and making wiser business decisions.. Data Mining for Business Intelligence, which was developed from a course taught at the Massachusetts Institute of Technology's Sloan School of Management, and the University of Maryland's Smith School of Business, uses real data and actual cases to illustrate the applicability of data mining intelligence to t