Data mining concepts, models, methods, and algorithms /

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...

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Bibliographic Details
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:
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245 1 0 |a Data mining  |b concepts, models, methods, and algorithms /  |c Mehmed Kantardzic.  |h [electronic resource] : 
250 # # |a 2nd ed. 
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300 # # |a 1 online resource (xvii, 534 p.) ;  |b ill. 
504 # # |a Includes bibliographical references and index. 
505 0 0 |t Data-Mining Concepts --  |t Preparing the Data --  |t Data Reduction --  |t Learning from Data --  |t Statistical Methods --  |t Decision Trees and Decision Rules --  |t Artificial Neural Networks --  |t Ensemble Learning --  |t Cluster Analysis --  |t Association Rules --  |t Web Mining and Text Mining --  |t Advances in Data Mining --  |t Genetic Algorithms --  |t Fuzzy sets and Fuzzy Logic --  |t Visualization Methods --  |t Appendix A --  |t Appendix B: Data-Mining Applications. 
520 # # |a 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. 
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