Sunday, 5 January 2014

Data Mining: Concepts and Techniques



Book Description
Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects. Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data

Table of Contents
Chapter 1. Introduction
Chapter 2. Getting to Know Your Data
Chapter 3. Data Preprocessing
Chapter 4. Data Warehousing and Online Analytical Processing
Chapter 5. Data Cube Technology
Chapter 6. Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods
Chapter 7. Advanced Pattern Mining
Chapter 8. Classification: Basic Concepts
Chapter 9. Classification: Advanced Methods
Chapter 10. Cluster Analysis: Basic Concepts and Methods
Chapter 11. Advanced Cluster Analysis
Chapter 12. Outlier Detection
Chapter 13. Data Mining Trends and Research Frontiers

Download
You can download this book from any of the following links. If any link is dead please feel free to leave a comment.
Download here (3rd Ed.)
Download here (2nd Ed.)
Download here (Solution Manual 2nd Ed.)

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