Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
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Añadir al carritohardcover. Condición: New. 2nd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Idioma: Inglés
Publicado por CRC Press, Boca Raton, FL, 2017
ISBN 10: 1482234890 ISBN 13: 9781482234893
Librería: PsychoBabel & Skoob Books, Didcot, Reino Unido
EUR 73,94
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Añadir al carritoHardcover. Condición: Very Good. Estado de la sobrecubierta: No Dust Jacket. Hardcover with printed boards, no dust jacket, in very good condition. Light shelf wear only. Boards are clean, binding is sound and content is as unread. LW.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Idioma: Inglés
Publicado por Taylor & Francis Inc, Oakville, 2017
ISBN 10: 1482234890 ISBN 13: 9781482234893
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 107,08
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Añadir al carritoHardcover. Condición: 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.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Taylor & Francis Group, 2017
ISBN 10: 1482234890 ISBN 13: 9781482234893
Librería: Majestic Books, Hounslow, Reino Unido
EUR 118,37
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Añadir al carritoCondición: New. pp. 312.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 111,51
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Apple Academic Press Inc., 2017
ISBN 10: 1482234890 ISBN 13: 9781482234893
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 2nd edition. 405 pages. 10.50x7.00x1.00 inches. In Stock.
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Añadir al carritoHardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por Taylor & Francis Group, 2017
ISBN 10: 1482234890 ISBN 13: 9781482234893
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 143,47
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Añadir al carritoCondición: New. pp. 312 2nd Edition.
Idioma: Inglés
Publicado por Apple Academic Press Inc., 2017
ISBN 10: 1482234890 ISBN 13: 9781482234893
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 134,82
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Añadir al carritoCondición: New. Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series. Num Pages: 446 pages, 85 black & white illustrations. BIC Classification: UFM; UNF. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 188 x 262 x 22. Weight in Grams: 1052. . 2017. 2nd Edition. Hardcover. . . . .
Idioma: Inglés
Publicado por Taylor & Francis Group, 2017
ISBN 10: 1482234890 ISBN 13: 9781482234893
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 141,95
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Añadir al carritoCondición: New. pp. 312.
Librería: moluna, Greven, Alemania
EUR 110,49
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Añadir al carritoGebunden. Condición: New. 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 pa.
Idioma: Inglés
Publicado por Taylor & Francis Inc, Oakville, 2017
ISBN 10: 1482234890 ISBN 13: 9781482234893
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 135,75
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Publicado por Apple Academic Press Inc., 2017
ISBN 10: 1482234890 ISBN 13: 9781482234893
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 166,51
Cantidad disponible: 2 disponibles
Añadir al carritoCondición: New. Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series. Num Pages: 446 pages, 85 black & white illustrations. BIC Classification: UFM; UNF. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 188 x 262 x 22. Weight in Grams: 1052. . 2017. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 138,40
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware - If you want to learn how to analyze your data with R, this is your book. A broad range of real-world case studies highlights the breadth and depth of the R software. This expanded second edition delves deeper into topical explanations and updates and expands all case studies. Assuming no prior knowledge of R or data mining/statistical techniques, the book covers a diverse set of problems that pose different challenges in terms of size, type of data, goals of analysis, and analytical tools.