Introduction to Data Mining: Pearson New International Edition PDF eBook (PDF)
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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
- Autoren: Pang-Ning Tan , Michael Steinbach , Vipin Kumar
- 2013, 1. Auflage, 736 Seiten, Englisch
- Verlag: PEARSON HIGHER EDUCATION
- ISBN-10: 1292038551
- ISBN-13: 9781292038551
- Erscheinungsdatum: 29.08.2013
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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