Data mining concepts, models, methods, and algorithms /

• Main Author: Kantardzic, Mehmed.
• Corporate Author: Wiley InterScience (Online service)
• Format: Electronic
• Language: English
• Published: Hoboken, NJ : Wiley-IEEE Press, c2011.
• Edition: 2nd ed.
• Subjects: Data mining.; COMPUTERS / Database Management / Data Mining; Electronic resource.; Electronic books.
• Online Access: An electronic book accessible through the World Wide Web; click for information; View fulltext via EzAccess; IEEE Xplore; https://ezaccess.library.uitm.edu.my/login?url=http://swb.eblib.com/patron/FullRecord.aspx?p=697640

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...

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.