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120625s2011 nju eng |
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|a 0470890452 (cloth : alk. paper)
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|a 1118029127 (ePDF)
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|a 1118029135 (ePub)
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|a 1118029143 (ebook)
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|a 9780470890455 (cloth : alk. paper)
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|a 9781118029121 (ePDF)
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|a 9781118029138 (ePub)
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|a 9781118029145 (ebook)
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|a QA76.9.D343
|b K36 2011
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|a QA76.9.D343
|b K36 2011
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| 100 |
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|a Kantardzic, Mehmed ,
|e author
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| 245 |
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|a Data mining :
|b concepts, models, methods, and algorithms
|c Mehmed Kantardzic
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| 250 |
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|a 2nd ed
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| 260 |
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|a Hoboken, New Jersey :
|b John Wiley & Sons ; :
|b IEEE Press ,
|c c2011
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| 300 |
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|a xvii, 534 p. :
|b ill. ;
|c 25 cm.
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| 504 |
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|a Includes bibliographical references (p. 510-528) and index
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|a 1. Data-mining concepts -- 2. Preparing the data -- 3. Data reducttion -- 4. Learning from data -- 5. Statistical methods -- 6. Decision trees and decision rules -- 7. Artificial neural networks -- 8. Ensemble learning -- 9. Cluster analysis -- 10. Association rules -- 11. Web mining and text mining -- 12. Advances in data mining -- 13. Genetic algorithms -- 14. Fuzzy sets and fuzzy logic -- 15. Visualization methods
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| 650 |
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|a Data mining
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| 650 |
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|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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| 999 |
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|a 1000152707
|b Book
|c OPEN SHELF (30 DAYS)
|e Gong Badak Campus
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