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Data Mining Concepts, Models, Methods, and Algorithms by Mehmed Kantardzic

Data Mining Concepts, Models, Methods, and Algorithms


Data Mining Concepts, Models, Methods, and Algorithms by Mehmed Kantardzic

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 If you are an instructor or professor and would like to obtain a solutions manual, please send an email to:


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)

About the Author

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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Book Info

Publication date

16th August 2011


Mehmed Kantardzic

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Wiley-Blackwell an imprint of John Wiley and Sons Ltd


552 pages


Electronics & communications engineering
Computer hardware



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