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Titlebook: Data Mining: Foundations and Intelligent Paradigms; VOLUME 2: Statistica Dawn E. Holmes,Lakhmi C. Jain Book 2012 Springer-Verlag Berlin Hei

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发表于 2025-3-21 18:38:56 | 显示全部楼层 |阅读模式
书目名称Data Mining: Foundations and Intelligent Paradigms
副标题VOLUME 2: Statistica
编辑Dawn E. Holmes,Lakhmi C. Jain
视频videohttp://file.papertrans.cn/263/262976/262976.mp4
概述contains the latest research on data mining research and its applications to health informatics.The state of the art of data mining for health informatics is presented in a handbook style.Written by l
丛书名称Intelligent Systems Reference Library
图书封面Titlebook: Data Mining: Foundations and Intelligent Paradigms; VOLUME 2: Statistica Dawn E. Holmes,Lakhmi C. Jain Book 2012 Springer-Verlag Berlin Hei
描述.There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core Topics including Statistical, Time-Series and Bayesian Analysis” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field..
出版日期Book 2012
关键词Computational Intelligence; Data Mining; Health Informatics; Intelligent Systems
版次1
doihttps://doi.org/10.1007/978-3-642-23241-1
isbn_softcover978-3-642-43429-7
isbn_ebook978-3-642-23241-1Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

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Anne Hemkendreis,Anna-Sophie Jürgenstaining just one binary search tree is not enough, we also need other data structures. Moreover, in order to guarantee equal discretization results, an up-to-date discretization cannot always be kept available, but we need to delay the updates to happen at periodic intervals. We also provide a comparative evaluation of the proposed algorithm.
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A New Approach and Its Applications for Time Series Analysis and Prediction Based on Moving Average margins, in order to establish a way to predict the next series term based on both, the original data set and a negligible error. The algorithm performances are evaluated using measurement data sets on monthly average Sunspot Number, Earthquakes and Pseudo-Periodical Synthetic Time Series.
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1868-4394 ian Analysis” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field..978-3-642-43429-7978-3-642-23241-1Series ISSN 1868-4394 Series E-ISSN 1868-4408
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Book 2012 Intelligent Paradigms: Volume 2: Core Topics including Statistical, Time-Series and Bayesian Analysis” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field..
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