INTRODUCTION TO DATA MINING 2ED
Anuj Karpatne , Michael Steinbach , Pang-Ning Tan y Vipin Kumar
Editorial: Pearson Global Editions
Edition: 2
publication date: 2019
ISBN: 9780273769224
ISBN ebook: 9780273775324
pages: 866
Grade: Universitario
Area: Informática
Section: Arquitectura y Tecnología de computadores
Language: Inglés
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Edition: 2
publication date: 2019
ISBN: 9780273769224
ISBN ebook: 9780273775324
pages: 866
Grade: Universitario
Area: Informática
Section: Arquitectura y Tecnología de computadores
Language: Inglés
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Preface to the Second Edition
1. Introduction
2. Data
3. Classification: Basic Concepts and Techniques
4. Association Analysis: Basic Concepts and Algorithms
5. Cluster Analysis: Basic Concepts and Algorithms
6. Classification: Alternative Techniques
7. Association Analysis: Advanced Concepts
8. Cluster Analysis: Additional Issues and Algorithms
9. Anomaly Detection
10. Avoiding False Discoveries
*The digital edition does not include access codes to additional material or programs mentioned in the book.
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.
University of Minnesota
Michael Steinbach
University of Minnesota
Pang-Ning Tan
Michigan State University
Vipin Kumar
University of Minnesota
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