Data Mining Business Intelligence 2nd Edition

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The eBook for Data Mining for Business Intelligence (2nd edition) is now available We made an additional set of exercises and solutions available in the 2nd. View Class Note - Solution-Manual-for-Business-Intelligence-by-Rajiv- Chapter 6: Multiple Linear Regression Data Mining for Business Intelligence Shmueli. He teaches Data Mining in R in the NYU Stern School of Business’ MS in Business Analytics program. An active researcher in machine learning and data mining for more than 20 years, Dr. https://rengol.netlify.app/descargar-virtual-dj-7-by-zanardelli.html. Torgo is also a researcher in the Laboratory of Artificial Intelligence and Data Analysis (LIAAD) of INESC Porto LA.

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'Data Mining for Business Intelligence, Second Edition' uses real data and actual cases to illustrate the applicability of data mining (DM) intelligence in the development of successful business models. Featuring complimentary access to XLMiner, the Microsoft Office Excel add-in, this book allows readers to follow along and implement algorithms at their own speed, with a m..more

Published June 10th 2011 by Wiley (first published December 11th 2006)

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Rating details

Apr 11, 2015Mike Kruger rated it liked it · review of another edition

Pretty good on the basic concepts. But the main limitation here is that the software platform is XLMiner, an excel add-in now marketed by Frontline Systems and which the authors helped develop. I may be a bit jaundiced because I took a course from the authors which used this book in Summer, 2014 when the software was upgraded to a new version that was buggy.

Nov 19, 2016Swati Sharma rated it it was ok · review of another edition

This book is not as descriptive for the concepts of Data Mining. I used Morgan Kaufman's Data Mining book.

Nov 24, 2012박은정 Park rated it it was ok · review of another edition

Shelves: textbooks

Though not rich in mathematics, I think it can be a great start for beginners in data mining. Easy explanations and intuitive insights.

Aug 23, 2010Kathleen rated it it was ok · review of another edition

Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner by Galit Shmueli (2006)

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Aug 02, 2014

Business Intelligence Meaning

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Overview

Data Mining And Business

In today's world, businesses are becoming more capable of accessing their ideal consumers, and an understanding of data mining contributes to this success. 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 the development of successful business models. Featuring XLMiner[Registered], the Microsoft Office Excel[Registered] add-in, this book allows readers to follow along and implement algorithms at their own speed, with a minimal learning curve. In addition, students and practitioners of data mining techniques are presented with hands-on, business-oriented applications. 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 analysis, Features a business decision-making context for these key methods, Illustrates the application and interpretation of these methods using real business cases and data. This 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.

About the Author:
Galit Shmueli, PhD, is Assistant Professor of Statistics in the Decision and Information Technologies Department of the Robert H. Smith School of Business at the University of Maryland

About the Author:
Nitin R. Download lagi om sagita 2018. 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