MARC全文
02h0038814 20140401162255.0 140311s2012 ci a frb |000|||eng | 978-953-51-0748-4(hbk.) : CNY1377.00 CIBTC CIBTC NGL a847.6 aTP311.13 24 数据挖掘中的知识发现和应用进展. chi Advances in data mining knowledge discovery and applications / edited by Adem Karahoca. Rijeka, Croatia : InTech, c2012. xi, 388 p. : ill. (some col.) ; 25 cm. Includes bibliographical references. Advances in Data Mining Knowledge Discovery and Applications aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining. It seems to be same things are repeated again. But in general, same approach and techniques may help us in different fields and expertise areas. This book presents knowledge discovery and data mining applications in two different sections. As known that, data mining covers areas of statistics, machine learning, data management and databases, pattern recognition, artificial intelligence, and other areas. In this book, most of the areas are covered with different data mining applications. The eighteen chapters have been classified in two parts: Knowledge Discovery and Data Mining Applications. Data mining. ; Knowledge discovery. ; Similarity measures. aKarahoca, Adem. aCN b010001 NGL ; h1 ; rCNY1377.00 847.6 K14 gljx1401