Name: practical data mining (en Inglés)
Price: 654049.00 COP
Availability: InStock
Author: Hancock, Jr.
ISBN: 9781439868362

portada practical data mining (en Inglés)

Formato

Libro Físico

Autor

Jr. Hancock

Editorial

Auerbach Publications

Idioma

Inglés

N° páginas

352

Encuadernación

Tapa Dura

Dimensiones

23.6 x 15.7 x 1.8 cm

Peso

0.42 kg.

ISBN

1439868360

ISBN13

9781439868362

Categorías

Tecnología de la información: cuestiones generales
Minería de datos («data mining»)

practical data mining (en Inglés)

Jr. Hancock (Autor) · Auerbach Publications · Tapa Dura

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Reseña del libro "practical data mining (en Inglés)"

Used by corporations, industry, and government to inform and fuel everything from focused advertising to homeland security, data mining can be a very useful tool across a wide range of applications. Unfortunately, most books on the subject are designed for the computer scientist and statistical illuminati and leave the reader largely adrift in technical waters. Revealing the lessons known to the seasoned expert, yet rarely written down for the uninitiated, Practical Data Mining explains the ins-and-outs of the detection, characterization, and exploitation of actionable patterns in data. This working field manual outlines the what, when, why, and how of data mining and offers an easy-to-follow, six-step spiral process. Catering to IT consultants, professional data analysts, and sophisticated data owners, this systematic, yet informal treatment will help readers answer questions, such as: What process model should I use to plan and execute a data mining project? How is a quantitative business case developed and assessed? What are the skills needed for different data mining projects? How do I track and evaluate data mining projects? How do I choose the best data mining techniques? Helping you avoid common mistakes, the book describes specific genres of data mining practice. Most chapters contain one or more case studies with detailed projects descriptions, methods used, challenges encountered, and results obtained. The book includes working checklists for each phase of the data mining process. Your passport to successful technical and planning discussions with management, senior scientists, and customers, these checklists lay out the right questions to ask and the right points to make from an insider's point of view. Visit the book's webpage