Data mining : concepts, models, methods, and algorithms /
This book reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making. The goal of this book is to provide a single introductory source, organized in a systematic way, in which we...
Main Author: | |
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Format: | eBook |
Language: | English |
Published: |
[Piscataway, New Jersey] : Hoboken, NJ :
IEEE Press ; Wiley,
[2011]
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Edition: | Second edition. |
Subjects: | |
Online Access: | View fulltext via EzAccess |
Table of Contents:
- Data-Mining Concepts
- Preparing the Data
- Data Reduction
- Learning from Data
- Statistical Methods
- Decision Trees and Decision Rules
- Artificial Neural Networks
- Ensemble Learning
- Cluster Analysis
- Association Rules
- Web Mining and Text Mining
- Advances in Data Mining
- Genetic Algorithms
- Fuzzy sets and Fuzzy Logic
- Visualization Methods
- Appendix A
- Appendix B: Data-Mining Applications.