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Discovering knowledge in data : an introduction to data mining /

Annotation Learn Data Mining by doing data miningData mining can be revolutionary-but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Larose, Daniel T.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, N.J. : Wiley-Interscience, ©2005.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:Annotation Learn Data Mining by doing data miningData mining can be revolutionary-but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data sets. Employing a "white box" methodology and with real-world case studies, this step-by-step guide walks readers through the various algorithms and statistical structures that underlie the software and presents examples of their operation on actual large data sets. Principal topics include:* Data preprocessing and classification* Exploratory analysis* Decision trees* Neural and Kohonen networks* Hierarchical and k-means clustering* Association rules* Model evaluation techniquesComplete with scores of screenshots and diagrams to encourage graphical learning, Discovering Knowledge in Data: An Introduction to Data Mining gives students in Business, Computer Science, and Statistics as well as professionals in the field the power to turn any data warehouse into actionable knowledge. An Instructor's Manual presenting detailed solutions to all the problems in the book is available online
Descripción Física:1 online resource (xv, 222 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:0471687537
9780471687535
0471687545
9780471687542
9780471666578
0471666572
1280275294
9781280275296
9786610275298
6610275297
0470361352
9780470361351