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Titlebook: Introduction to Data Mining and its Applications; S. Sumathi,S. N. Sivanandam Book 2006 Springer-Verlag Berlin Heidelberg 2006 Analysis.al

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发表于 2025-3-21 18:54:13 | 显示全部楼层 |阅读模式
书目名称Introduction to Data Mining and its Applications
编辑S. Sumathi,S. N. Sivanandam
视频video
概述Includes supplementary material:
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Introduction to Data Mining and its Applications;  S. Sumathi,S. N. Sivanandam Book 2006 Springer-Verlag Berlin Heidelberg 2006 Analysis.al
描述.This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, knowledge based systems, knowledge acquisition, information retrieval, high performance computing and data visualization. This book is intended for a wide audience of readers who are not necessarily experts in data warehousing and data mining, but are interested in receiving a general introduction to these areas and their many practical applications. Since data mining technology has become a hot topic not only among academic students but also for decision makers, it provides valuable hidden business and scientific intelligence from a large amount of historical data. It is also written for technical managers and executives as well as for technologists interested in learning about data mining..
出版日期Book 2006
关键词Analysis; algorithm; algorithms; artificial intelligence; communication; computer-aided design (CAD); data
版次1
doihttps://doi.org/10.1007/978-3-540-34351-6
isbn_softcover978-3-662-50080-4
isbn_ebook978-3-540-34351-6Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

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发表于 2025-3-21 20:30:11 | 显示全部楼层
1860-949X in data base systems and new data base applications and is also designed to give a broad, yet in-depth overview of the field of data mining. Data mining is a multidisciplinary field, drawing work from areas including database technology, AI, machine learning, NN, statistics, pattern recognition, kno
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S. Sumathi,S. N. SivanandamIncludes supplementary material:
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https://doi.org/10.1007/978-3-540-34351-6Analysis; algorithm; algorithms; artificial intelligence; communication; computer-aided design (CAD); data
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econfiguration scenarios into four forms: (1) additions-removals of components, (2) modifications of their compositions, (3) modifications of implementations, and finally (4) simple modifications of data. We define a new multi-agent architecture for reconfigurable systems where a Reconfiguration Age
发表于 2025-3-23 07:25:50 | 显示全部楼层
econfiguration scenarios into four forms: (1) additions-removals of components, (2) modifications of their compositions, (3) modifications of implementations, and finally (4) simple modifications of data. We define a new multi-agent architecture for reconfigurable systems where a Reconfiguration Age
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