Introduction to Data Mining
Pang-Ning Tan; Michael Steinbach; Vipin Kumar
Language: English
Published by Pearson Education, 2005
- Softcover
- Used

Seller: Hamelyn, Madrid, M, SpainHamelyn
AbeBooks seller since July 18, 2022
Condition: Used - As new
£ 11.77
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Add to basketItem description from seller
: Introducción a los conceptos y algoritmos fundamentales del 'data mining' o minería de datos, ideal para aquellos que se inician en este campo. Cada concepto se explora a fondo y se apoya con numerosos ejemplos. El texto requiere solo un conocimiento básico de matemáticas. Cada tema principal se organiza en dos capítulos, comenzando con conceptos básicos que proporcionan los antecedentes necesarios para comprender cada técnica de minería de datos, seguidos de conceptos y algoritmos más avanzados. EAN: 9780321420527 Tipo: Libros Categoría: Tecnología Título: Introduction to Data Mining Autor: Pang-Ning Tan| Michael Steinbach| Vipin Kumar Editorial: Pearson Education Idioma: en Páginas: 769 Formato: tapa blanda.
Seller Inventory # Happ-2026-08-19-91b43d3c
- Title
- Introduction to Data Mining
- Author
- Pang-Ning Tan; Michael Steinbach; Vipin Kumar
- Publisher
- Pearson Education
- Publication year
- 2005
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0321420527
- ISBN 13
- 9780321420527
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
"Synopsis" may belong to another edition of this title.
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