Introduction to Data Mining: Pearson New International Edition
Pearson New International Edition PDF eBook
1st Edition
Published on 29. August 2013
736 pages
978-1-292-03855-1 (ISBN)
Description
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. QuotesThis 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
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Pang-Ning Tan | Michael Steinbach | Vipin Kumar
Introduction to Data Mining: Pearson New International Edition
Book
07/2013
Pearson Education Limited
€97.98
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Content
- Cover
- Table of Contents
- Chapter 1. Introduction
- Chapter 2. Data
- Chapter 3. Exploring Data
- Chapter 4. Classification: Basic Concepts, Decision Trees, and Model Evaluation
- Chapter 5. Classification: Alternative Techniques
- Chapter 6. Association Analysis: Basic Concepts and Algorithms
- Chapter 7. Association Analysis: Advanced Concepts
- Chapter 8. Cluster Analysis: Basic Concepts and Algorithms
- Chapter 9. Cluster Analysis: Additional Issues and Algorithms
- Chapter 10. Anomaly Detection
- Appendix B: Dimensionality Reduction
- Appendix D: Regression
- Appendix E: Optimization
- Copyright Permissions
- Index
- 1
- A
- B
- C
- D
- E
- F
- G
- H
- I
- J
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
- W
- X
- Y
- Z
