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Titlebook: Data Mining: Foundations and Intelligent Paradigms; Volume 3: Medical, H Dawn E. Holmes,Lakhmi C Jain Book 20121st edition Springer-Verlag

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书目名称Data Mining: Foundations and Intelligent Paradigms
副标题Volume 3: Medical, H
编辑Dawn E. Holmes,Lakhmi C Jain
视频video
概述Contains the latest research on data mining research and its applications to financial modelling.The state of the art of data mining for financial modelling is presented in a handbook style.Written by
丛书名称Intelligent Systems Reference Library
图书封面Titlebook: Data Mining: Foundations and Intelligent Paradigms; Volume 3: Medical, H Dawn E. Holmes,Lakhmi C Jain Book 20121st edition Springer-Verlag
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 3: Medical, Health, Social, Biological and other Applications” 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 20121st edition
关键词Computational Intelligence; Data Mining; Financial Modelling; Intelligent Systems
版次1
doihttps://doi.org/10.1007/978-3-642-23151-3
isbn_softcover978-3-642-43546-1
isbn_ebook978-3-642-23151-3Series 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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Gene Function Prediction and Functional Network: The Role of Gene Ontology,arity between genes is computed using gene ontology information and using Resniks formula, then our results show that we can model the PPI data as a mixture model predicated on the assumption that true protein-protein interactions will have higher support than the false positives in the data. Thus s
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Mining Multiple Biological Data for Reconstructing Signal Transduction Networks,eatures, i.e., protein-protein interactions, signaling domains, domain-domain interactions, and protein functions. The gained results demonstrated that the method was promising to discover new STN and solve other related problems in computational and systems biology from large-scale protein interact
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Ghislain Dubois,Femke Stoverinck,Bas Amelungarity between genes is computed using gene ontology information and using Resniks formula, then our results show that we can model the PPI data as a mixture model predicated on the assumption that true protein-protein interactions will have higher support than the false positives in the data. Thus s
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