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eBay-Artikelnr.:297483143182
Artikelmerkmale
- Artikelzustand
- Release Year
- 2011
- Book Title
- Data Mining with Rattle and R: The Art of Excavating Data for ...
- ISBN
- 9781441998897
Über dieses Produkt
Product Identifiers
Publisher
Springer New York
ISBN-10
1441998896
ISBN-13
9781441998897
eBay Product ID (ePID)
109013342
Product Key Features
Number of Pages
Xx, 374 Pages
Language
English
Publication Name
Data Mining with Rattle and R : the Art of Excavating Data for Knowledge Discovery
Subject
Programming Languages / General, Probability & Statistics / General, Databases / Data Mining
Publication Year
2011
Type
Textbook
Subject Area
Mathematics, Computers
Series
Use R! Ser.
Format
Trade Paperback
Dimensions
Item Weight
23.7 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2011-934490
Reviews
From the reviews: "This text is a manual for the impressive Rattle graphical user interface (GUI) for R, describing both the use of the GUI and the R code that is invoked to carry out the computations. ... Data analysts ... are likely to find Rattle a helpful tool that will allow them to quickly become productive with R. ... There is extensive useful practical advice on data preparation and data manipulation. ... is well suited for use in intermediate level courses on regression or classification." (John H. Maindonald, International Statistical Review, Vol. 80 (1), 2012), From the reviews:This text is a manual for the impressive Rattle graphical user interface (GUI) for R, describing both the use of the GUI and the R code that is invoked to carry out the computations. … Data analysts … are likely to find Rattle a helpful tool that will allow them to quickly become productive with R. … There is extensive useful practical advice on data preparation and data manipulation. … is well suited for use in intermediate level courses on regression or classification. (John H. Maindonald, International Statistical Review, Vol. 80 (1), 2012), From the book reviews: "The text does a great job of showing how to do each step using the data mining tool Rattle and related R concepts as appropriate. This makes it a great tool for someone who does not know much about R and wants to learn more about the powerful options available in R for data mining." (Roger M. Sauter, Technometrics, Vol. 54 (3), August, 2012) "This text is a manual for the impressive Rattle graphical user interface (GUI) for R, describing both the use of the GUI and the R code that is invoked to carry out the computations. ... Data analysts ... are likely to find Rattle a helpful tool that will allow them to quickly become productive with R. ... There is extensive useful practical advice on data preparation and data manipulation. ... is well suited for use in intermediate level courses on regression or classification." (John H. Maindonald, International Statistical Review, Vol. 80 (1), 2012)
Dewey Edition
23
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
006.3/12
Table Of Content
Introduction.- Getting Started.- Working with Data.- Loading Data.- Exploring Data.- Interactive Graphics.- Transforming Data.- Descriptive and Predictive Analytics.- Cluster Analysis.- Association Analysis.- Decision Trees.- Random Forests.- Boosting.- Support Vector Machines.- Model Performance Evaluation.- Deployment.
Synopsis
Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn torapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings., With a focus on the hands-on, end-to-end process for data mining, this book guides the reader through various capabilities of the easy-to-use, free and open source Rattle Data Mining Software built on the sophisticated R Statistical Software., Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increasing stores of electronic data that abound today. In performing data mining many decisions need to be made regarding the choice of methodology, the choice of data, the choice of tools, and the choice of algorithms. Throughout this book the reader is introduced to the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining, Williams guides the reader through various capabilities of the easy to use, free, and open source Rattle Data Mining Software built on the sophisticated R Statistical Software. The focus on doing data mining rather than just reading about data mining is refreshing. The book covers data understanding, data preparation, data refinement, model building, model evaluation, and practical deployment. The reader will learn to rapidly deliver a data mining project using software easily installed for free from the Internet. Coupling Rattle with R delivers a very sophisticated data mining environment with all the power, and more, of the many commercial offerings.
LC Classification Number
QA276-280
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