Introduction to Data Mining, First Edition, Pearson New International Edition von Pang-Ning Tan; Michael Steinbach; Vipin Kumar: Fine Trade Paperback (2014) 1st Edition

Beschreibung

Pearson Education, 2014. Trade Paperback. Fine. Interior pristine. Spine straight, tight and uncreased. Light corner wear. Not from a library. No remainder mark. 732 pages. 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.

Bestandsnummer des Verk�ufers RWARE0000003479

Verk�ufer kontaktieren

Diesen Artikel melden

Bibliografische Details

Titel: Introduction to Data Mining, First Edition, Pearson New International Edition
Verlag: Pearson Education, Harlow, Essex, England
Erscheinungsjahr: 2014
Sprache: Englisch
ISBN-10: 1292026154
ISBN-13: 9781292026152
Einband: Trade Paperback
Auflage: 1st Edition
Zustand: Fine

�ber diesen Titel

Inhaltsangabe

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

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

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.