Introduction to Data Mining

Pang-Ning Tan; Michael Steinbach; Vipin Kumar

ISBN 10: 0321321367 ISBN 13: 9780321321367

Editorial: Pearson, 2005

Idioma: Ingl�s

Condici�n: Usado - Aceptable Encuadernaci�n de tapa dura

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Descripci�n

Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 2.94.

N� de ref. del art�culo G0321321367I3N10

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Detalles bibliogr�ficos

T�tulo

Introduction to Data Mining

Editor

Pearson

Fecha de publicaci�n

2005

Idioma

Ingl�s

ISBN 10

0321321367

ISBN 13

9780321321367

Encuadernaci�n

Hardcover

Estado

Good

Estado de la sobrecubierta

No Jacket

Cat�logos de vendedores

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Sinopsis

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

Rese�a del editor

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms. Quotes This book provides a comprehensive coverage of important data mining techniques. Numerous examples are provided to lucidly illustrate the key concepts. -Sanjay Ranka, University of Florida In my opinion this is currently the best data mining text book on the market. I like the comprehensive coverage which spans all major data mining techniques including classification, clustering, and pattern mining (association rules). -Mohammed Zaki, Rensselaer Polytechnic Institute

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