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Data Mining and Predictive Analysis 2e by Daniel Larose INTERNATIONAL EDITION

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Specifiche dell'oggetto

Condizione
Nuovo: Libro nuovo, intatto e non letto, in perfette condizioni, senza pagine mancanti o ...
Educational Level
Adult & Further Education
Features
International Edition
Level
Business, Proficiency, Advanced
ISBN
9781118116197
Categoria

Informazioni su questo prodotto

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1118116194
ISBN-13
9781118116197
eBay Product ID (ePID)
176147039

Product Key Features

Number of Pages
824 Pages
Publication Name
Data Mining and Predictive Analytics
Language
English
Subject
Databases / Data Mining
Publication Year
2015
Type
Textbook
Subject Area
Computers
Author
Daniel T. Larose
Series
Wiley Series on Methods and Applications in Data Mining Ser.
Format
Hardcover

Dimensions

Item Height
1.9 in
Item Weight
42.6 Oz
Item Length
9.6 in
Item Width
6.4 in

Additional Product Features

Edition Number
2
Intended Audience
Scholarly & Professional
LCCN
2014-043340
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.3/12
Synopsis
Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified "white box" approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets. Data Mining and Predictive Analytics Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language Features over 750 chapter exercises, allowing readers to assess their understanding of the new material Provides a detailed case study that brings together the lessons learned in the book Includes access to the companion website, www.dataminingconsultant, with exclusive password-protected instructor content Data Mining and Predictive Analytics will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives., Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis., Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified "white box" approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets. Data Mining and Predictive Analytics : Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language Features over 750 chapter exercises, allowing readers to assess their understanding of the new material Provides a detailed case study that brings together the lessons learned in the book Includes access to the companion website, www.dataminingconsultant, with exclusive password-protected instructor content Data Mining and Predictive Analytics will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives., Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified white box approach to data mining methods and models. This approach is designed to walk readers through the operations and nuances of the various methods, using small data sets, so readers can gain an insight into the inner workings of the method under review. Chapters provide readers with hands-on analysis problems, representing an opportunity for readers to apply their newly-acquired data mining expertise to solving real problems using large, real-world data sets. Data Mining and Predictive Analytics : Offers comprehensive coverage of association rules, clustering, neural networks, logistic regression, multivariate analysis, and R statistical programming language Features over 750 chapter exercises, allowing readers to assess their understanding of the new material Provides a detailed case study that brings together the lessons learned in the book Includes access to the companion website, www.dataminingconsultant, with exclusive password-protected instructor content Data Mining and Predictive Analytics will appeal to computer science and statistic students, as well as students in MBA programs, and chief executives.
LC Classification Number
QA76.9.D343L3776

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