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Data Mining Concepts, Models, Methods, and Algorithms

by Mehmed Kantardzic

Data Mining Concepts, Models, Methods, and Algorithms Synopsis

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. If you are an instructor or professor and would like to obtain instructor s materials, please visit http://booksupport.wiley.com If you are an instructor or professor and would like to obtain a solutions manual, please send an email to: pressbooks@ieee.org

Data Mining Concepts, Models, Methods, and Algorithms Press Reviews

I therefore gladly salute the second editing of this lovely and valuable book. Researchers, students as well as industry professionals can find the reasons, means and practice to make use of essential data mining methodologies to help their interests. (Zentralblatt MATH, 2012)

Book Information

ISBN: 9780470890455
Publication date: 23rd September 2011
Author: Mehmed Kantardzic
Publisher: Wiley-Blackwell an imprint of John Wiley and Sons Ltd
Format: Hardback
Pagination: 552 pages
Categories: Databases, Electronics & communications engineering, Mathematics, Computer hardware,

About Mehmed Kantardzic

MEHMED KANTARDZIC, PhD, is a professor in the Department of Computer Engineering and Computer Science (CECS) in the Speed School of Engineering at the University of Louisville, Director of CECS Graduate Studies, as well as Director of the Data Mining Lab. A member of IEEE, ISCA, and SPIE, Dr. Kantardzic has won awards for several of his papers, has been published in numerous referred journals, and has been an invited presenter at various conferences. He has also been a contributor to numerous books.

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