Introduction to Data Mining: Pearson New International Edition - Tapa blanda

Pang-Ning, Tan; Michael, Steinbach

 
9781292026152: Introduction to Data Mining: Pearson New International Edition
Tapa blanda
ISBN 10: 1292026154 ISBN 13: 9781292026152
Editorial: Pearson Education, 2013

Sinopsis

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

"Sinopsis" puede pertenecer a otra edición de este libro.

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

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Pearson Education
Año de publicación
2013
Idioma
Inglés
ISBN 10 
1292026154
ISBN 13 
9781292026152
Encuadernación
Tapa blanda
Número de páginas
736
Contacto del fabricante
no disponible
Persona responsable
Riccardo Bacigalupo
riccardo.bacigalupo@sanoma.it

Sanoma Italia Via Arconati, 1 �
Milano
20135
Italia