Introduction to Data Mining

Tan, Pang-Ning; Steinbach, Michael; Kumar, Vipin

ISBN 10: 0321321367 / ISBN 13: 9780321321367

Verlag: Pearson, 2005

Beschreibung

Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 2.94. Bestandsnummer des Verkäufers G0321321367I2N00

Bibliografische Details

Titel: Introduction to Data Mining

Verlag: Pearson

Erscheinungsdatum: 2005

Einband: Hardcover

Zustand: As New

Zustand des Schutzumschlags: No Jacket

Über diesen Titel

Inhaltsangabe:

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.

Reseña 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