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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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發(fā)表于 2025-3-21 18:54:13 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Introduction to Data Mining and its Applications
編輯S. Sumathi,S. N. Sivanandam
視頻videohttp://file.papertrans.cn/474/473593/473593.mp4
概述Includes supplementary material:
叢書名稱Studies in Computational Intelligence
圖書封面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
關(guān)鍵詞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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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
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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
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