Data mining : concepts, models, methods, and algorithms

Data mining : concepts, models, methods, and algorithms

Bibliographic Details
Main Author: Kantardzic, Mehmed (Author)
Format: Book
Language:English
Published: Hoboken, New Jersey : John Wiley & Sons ; : IEEE Press , c2011
Edition:2nd ed
Subjects:
Data mining
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 could direct the readers in analysis of large data sets, through the explanation of basic concepts, models and methodologies developed in recent decades
Table of Contents:
  • 1. Data-mining concepts
  • 2. Preparing the data
  • 3. Data reducttion
  • 4. Learning from data
  • 5. Statistical methods
  • 6. Decision trees and decision rules
  • 7. Artificial neural networks
  • 8. Ensemble learning
  • 9. Cluster analysis
  • 10. Association rules
  • 11. Web mining and text mining
  • 12. Advances in data mining
  • 13. Genetic algorithms
  • 14. Fuzzy sets and fuzzy logic
  • 15. Visualization methods

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