Kantardzic M. Data Mining: Concepts, Models, Methods, and Algorithms

New Jersey: John Wiley & Sons, Inc., 2011. — 534 p. — ISBN: 978-0-470-89045-5.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.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 MethodsData-Mining Journals
Data-Mining Conferences
Data-Mining Forums/Blogs
Data Sets
Comercially and Publicly Available Tools
Web Site LinksData-Mining Applications
Data Mining for Financial Data Analysis
Data Mining for the Telecomunications Industry
Data Mining for the Retail Industry
Data Mining in Health Care and Biomedical Research
Data Mining in Science and Engineering
Pitfalls of Data Mining