Articles liés à Data Mining With R: Learning With Case Studies
Synopsis
Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is divided into two parts. The first part will feature introductory material, including a new chapter that provides an introduction to data mining, to complement the already existing introduction to R. The second part includes case studies, and the new edition strongly revises the R code of the case studies making it more up-to-date with recent packages that have emerged in R.
The book does not assume any prior knowledge about R. Readers who are new to R and data mining should be able to follow the case studies, and they are designed to be self-contained so the reader can start anywhere in the document.
The book is accompanied by a set of freely available R source files that can be obtained at the book's web site. These files include all the code used in the case studies, and they facilitate the "do-it-yourself" approach followed in the book.
Designed for users of data analysis tools, as well as researchers and developers, the book should be useful for anyone interested in entering the "world" of R and data mining.
About the Author
Luís Torgo is an associate professor in the Department of Computer Science at the University of Porto in Portugal. 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. Torgo is also a researcher in the Laboratory of Artificial Intelligence and Data Analysis (LIAAD) of INESC Porto LA.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Luís Torgo is an associate professor in the Department of Computer Science at the University of Porto in Portugal. 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. Torgo is also a researcher in the Laboratory of Artificial Intelligence and Data Analysis (LIAAD) of INESC Porto LA.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Data Mining with R: Learning with Case Studies, Second Edition (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
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Chapman and Hall/CRC (edition 2), 2017
ISBN 10 : 1482234890
ISBN 13 : 9781482234893
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Data Mining with R: Learning with Case Studies, Second Edition (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Edité par
Chapman and Hall/CRC, 2017
ISBN 10 : 1482234890
ISBN 13 : 9781482234893
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Couverture rigide
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Data Mining With R : Learning With Case Studies
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Chapman and Hall/CRC, 2017
ISBN 10 : 1482234890
ISBN 13 : 9781482234893
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Data Mining with R: Learning with Case Studies, Second Edition (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Edité par
Chapman and Hall/CRC, 2017
ISBN 10 : 1482234890
ISBN 13 : 9781482234893
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Vendeur : Textbooks_Source, Columbia, MO, Etats-Unis
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Data Mining With R: Learning With Case Studies
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CRC Press, Boca Raton, FL, 2017
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ISBN 13 : 9781482234893
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Data Mining With R : Learning With Case Studies
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Chapman and Hall/CRC, 2017
ISBN 10 : 1482234890
ISBN 13 : 9781482234893
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Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Data Mining With R : Learning With Case Studies
Edité par
Chapman and Hall/CRC, 2017
ISBN 10 : 1482234890
ISBN 13 : 9781482234893
Neuf
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Data Mining with R
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Data Mining with R (Hardcover)
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Hardcover. Etat : new. Hardcover. Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition, this new edition is divided into two parts. The first part will feature introductory material, including a new chapter that provides an introduction to data mining, to complement the already existing introduction to R. The second part includes case studies, and the new edition strongly revises the R code of the case studies making it more up-to-date with recent packages that have emerged in R.The book does not assume any prior knowledge about R. Readers who are new to R and data mining should be able to follow the case studies, and they are designed to be self-contained so the reader can start anywhere in the document. The book is accompanied by a set of freely available R source files that can be obtained at the books web site. These files include all the code used in the case studies, and they facilitate the "do-it-yourself" approach followed in the book.Designed for users of data analysis tools, as well as researchers and developers, the book should be useful for anyone interested in entering the "world" of R and data mining.About the AuthorLuis Torgo is an associate professor in the Department of Computer Science at the University of Porto in Portugal. 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. Torgo is also a researcher in the Laboratory of Artificial Intelligence and Data Analysis (LIAAD) of INESC Porto LA. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781482234893
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Data Mining with R
Edité par
Taylor & Francis Group, 2017
ISBN 10 : 1482234890
ISBN 13 : 9781482234893
Neuf
Couverture rigide
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. pp. 312. N° de réf. du vendeur 95239926
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