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Data Mining for Business Intelligence : Concepts, Techniques, and...

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US $14.99
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Item specifics

Condition
Acceptable: A book with obvious wear. May have some damage to the cover but integrity still intact. ...
Level
Business
ISBN
9780470526828
Publication Year
2010
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Data Mining for Business Intelligence : Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner
Item Height
1.1in
Author
Nitin R. Patel, Peter C. Bruce, Galit Shmueli
Item Length
10.3in
Publisher
Wiley & Sons, Incorporated, John
Item Width
7.3in
Item Weight
0 Oz
Number of Pages
428 Pages

About this product

Product Information

Praise for the First Edition " full of vivid and thought-provoking anecdotes needs to be read by anyone with a serious interest in research and marketing." - Research magazine "Shmueli et al. have done a wonderful job in presenting the field of data mining a welcome addition to the literature." - computingreviews.com Incorporating a new focus on data visualization and time series forecasting, Data Mining for Business Intelligence , Second Edition continues to supply insightful, detailed guidance on fundamental data mining techniques. This new edition guides readers through the use of the Microsoft Office Excel add-in XLMiner for developing predictive models and techniques for describing and finding patterns in data. From clustering customers into market segments and finding the characteristics of frequent flyers to learning what items are purchased with other items, the authors use interesting, real-world examples to build a theoretical and practical understanding of key data mining methods, including classification, prediction, and affinity analysis as well as data reduction, exploration, and visualization. The Second Edition now features: Three new chapters on time series forecasting, introducing popular business forecasting methods including moving average, exponential smoothing methods; regression-based models; and topics such as explanatory vs. predictive modeling, two-level models, and ensembles A revised chapter on data visualization that now features interactive visualization principles and added assignments that demonstrate interactive visualization in practice Separate chapters that each treat k-nearest neighbors and Nave Bayes methods Summaries at the start of each chapter that supply an outline of key topics The book includes access to XLMiner, allowing readers to work hands-on with the provided data. Throughout the book, applications of the discussed topics focus on the business problem as motivation and avoid unnecessary statistical theory. Each chapter concludes with exercises that allow readers to assess their comprehension of the presented material. The final chapter includes a set of cases that require use of the different data mining techniques, and a related Web site features data sets, exercise solutions, PowerPoint slides, and case solutions. Data Mining for Business Intelligence , Second Edition is an excellent book for courses on data mining, forecasting, and decision support systems at the upper-undergraduate and graduate levels. It is also a one-of-a-kind resource for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology.

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0470526823
ISBN-13
9780470526828
eBay Product ID (ePID)
84462963

Product Key Features

Author
Nitin R. Patel, Peter C. Bruce, Galit Shmueli
Publication Name
Data Mining for Business Intelligence : Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner
Format
Hardcover
Language
English
Publication Year
2010
Type
Textbook
Number of Pages
428 Pages

Dimensions

Item Length
10.3in
Item Height
1.1in
Item Width
7.3in
Item Weight
0 Oz

Additional Product Features

Lc Classification Number
Hf5548.2.S44843 2010
Edition Number
2
Reviews
"The book would be useful for a one- or two-semester data mining course or a business intelligence course." (The American Statistician, 1 November 2011)  
Copyright Date
2010
Topic
Decision-Making & Problem Solving, Probability & Statistics / General, Desktop Applications / Spreadsheets, Databases / Data Mining, Databases / General, Enterprise Applications / General
Lccn
2010-005152
Dewey Decimal
005.54
Intended Audience
Scholarly & Professional
Dewey Edition
22
Illustrated
Yes
Genre
Computers, Business & Economics, Mathematics

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