Introduction to Data Mining : Pearson New International Edition

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

ISBN 10: 1292026154 / ISBN 13: 9781292026152

Editore: Pearson Education, Limited, 2013

Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. Codice articolo 18204455-20

Riassunto:

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

Dati bibliografici

Titolo: Introduction to Data Mining : Pearson New ...
Casa editrice: Pearson Education, Limited
Data di pubblicazione: 2013
Legatura: Brossura
Condizione: Good
Edizione: Pearson New International Edition.