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Data Mining and Predictive Analysis 2e par Daniel Larose ÉDITION INTERNATIONALE-
36,00 USD
Environ32,31 EUR
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3,99 USD (environ 3,58 EUR) FedEx International Economy.
Lieu où se trouve l'objet : LUCKNOW, UTTAR PRADESH, Inde
Délai de livraison :
Estimé entre le sam. 28 sept. et le lun. 30 sept. à 43230
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Numéro de l'objet eBay :295398216351
Dernière mise à jour le 29 mai 2024 20:08:06 Paris. Afficher toutes les modificationsAfficher toutes les modifications
Caractéristiques de l'objet
- État
- Subject Area
- Computers
- Educational Level
- Adult & Further Education
- Features
- International Edition
- Level
- Business, Proficiency, Advanced
- Subject
- Databases / Data Mining
- ISBN
- 9781118116197
- Publication Name
- Data Mining and Predictive Analytics
- Publisher
- Wiley & Sons, Incorporated, John
- Item Length
- 9.6 in
- Publication Year
- 2015
- Series
- Wiley Series on Methods and Applications in Data Mining Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.9 in
- Item Weight
- 42.6 Oz
- Item Width
- 6.4 in
- Number of Pages
- 824 Pages
À propos de ce produit
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
Language
English
Publication Name
Data Mining and Predictive Analytics
Subject
Databases / Data Mining
Publication Year
2015
Type
Textbook
Subject Area
Computers
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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