Data Mining: Concepts, Models, Methods, and Algorithms

Front Cover
John Wiley & Sons, Jan 5, 2011 - Computers - 480 pages
0 Reviews
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. Thegoal of this book is toprovide 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.
  

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

I
1
II
26
III
53
IV
87
V
140
VI
169
VII
199
VIII
235
IX
249
X
280
XI
300
XII
328
XIII
385
XIV
414
XV
447
Copyright

Common terms and phrases

About the author (2011)

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.

Bibliographic information