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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge
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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery Tapa blanda - 2011

de Graham Williams


Información de la editorial

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.

Descripción de contraportada

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.

Detalles

  • Título Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery
  • Autor Graham Williams
  • Encuadernación Tapa blanda
  • Edición [ Edition: first
  • Páginas 374
  • Volúmenes 1
  • Idioma ENG
  • Editorial Springer
  • Fecha de publicación 2011-08-04
  • Ilustrado
  • Features Bibliography, Illustrated, Index, Table of Contents
  • ISBN 9781441998897 / 1441998896
  • Peso 1.2 libras (0.54 kg)
  • Dimensiones 9.1 x 6.1 x 0.9 pulgadas (23.11 x 15.49 x 2.29 cm)
  • Dewey Decimal Code 006.312

Acerca del autor

Dr Graham Williams is Senior Director of Analytics with the Australian Taxation Office, and previously Principal Computer Scientist for Data Mining with CSIRO. He is also Visiting Professor and Senior International Scientist with the Shenzhen Institutes of Advanced Analytics of the Chinese Academy of Sciences, Adjunct Professor, Data Mining, Fraud Prevention, Security, University of Canberra, and Adjunct Professor, Australian National University. Graham regularly teaches data mining courses and is author of the freely available, open source data mining system, Rattle. He has been involved in many data mining projects for clients from government and industry over his long career. His research developments included ensemble learning (1980's) and hot spots discovery (1990's). He is actively involved in the international artificial intelligence and data mining research communities, particularly as chair of the Pacific Asia Knowledge Discovery and Data Mining conference series and founder and co-chair of the Australasian Data Mining conference series. Graham has editted a number of books and authored many academic and industry papers and reports. His current focus is on making data mining technology readily accessible, ensuring research, innovation and discovery are repeatable and available, and encouraging the free and open sharing of knowledge.
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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery
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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery

de Graham Williams

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ISBN 10 / ISBN 13
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Springer New York, 2011. Paperback. Like New. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed.
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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery
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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery

de Williams, Graham

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ISBN 10 / ISBN 13
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Springer, 2011. Paperback. Good. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.Dust jacket quality is not guaranteed.
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Data Mining with Rattle and R : The Art of Excavating Data for Knowledge Discovery

Data Mining with Rattle and R : The Art of Excavating Data for Knowledge Discovery

de Graham Williams

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Paperback
ISBN 10 / ISBN 13
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Seattle, Washington, United States
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Este vendedor ha conseguido 4 de las cinco estrellas otorgadas por los compradores de Biblio.
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Descripción:
Springer, 2011. Paperback. Good. Disclaimer:A copy that has been read, but remains in clean condition. All pages are intact, and the cover is intact. The spine may show signs of wear. Pages can include limited notes and highlighting, and the copy can include previous owner inscriptions. At ThriftBooks, our motto is: Read More, Spend Less.Dust jacket quality is not guaranteed.
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Data Mining with Rattle and R : The Art of Excavating Data for Knowledge Discovery

Data Mining with Rattle and R : The Art of Excavating Data for Knowledge Discovery

de Graham Williams

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ISBN 10 / ISBN 13
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Descripción:
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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)

Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)

de Williams, Graham

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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)
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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)

de Williams, Graham

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Used - Good. Book is in standard used condition. The binding is tight, but the cover and edges may have significant wear. Supplemental materials may not be valid. 100% Money Back Guarantee. Ships fast from Amazon! UNMARKED copy. Name on side. Book is in standard used condition. The binding is tight, but the cover and edges may have significant wear. Supplemental materials may not be valid. 100% Money Back Guarantee. Ships fast from Amazon! UNMARKED copy. Name on side.
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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)
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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)

de Williams, Graham

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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)
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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)

de Williams, Graham

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ISBN 10 / ISBN 13
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Springer, 2011-08-04. Paperback. Good. Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Emailed Tracking
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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)
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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery (Use R!)

de Williams, Graham

  • Usado
  • Tapa blanda
Estado
Used:Good
Edición
2011
Encuadernación
Paperback
ISBN 10 / ISBN 13
9781441998897 / 1441998896
Cantidad disponible
1
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Descripción:
Springer, 2011-08-04. 2011. paperback. Used:Good.
Precio
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Envío gratuito a USA