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Titlebook: Classification and Data Mining; Antonio Giusti,Gunter Ritter,Maurizio Vichi Conference proceedings 2013 Springer-Verlag Berlin Heidelberg

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书目名称Classification and Data Mining
编辑Antonio Giusti,Gunter Ritter,Maurizio Vichi
视频videohttp://file.papertrans.cn/228/227197/227197.mp4
概述Includes supplementary material:
丛书名称Studies in Classification, Data Analysis, and Knowledge Organization
图书封面Titlebook: Classification and Data Mining;  Antonio Giusti,Gunter Ritter,Maurizio Vichi Conference proceedings 2013 Springer-Verlag Berlin Heidelberg
描述​​​​​​​​​This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. The volume is subdivided in three parts: Classification and Data Analysis; Data Mining; and Applications. The selection of peer reviewed papers had been presented at a meeting of classification societies held in Florence, Italy, in the area of "Classification and Data Mining".​
出版日期Conference proceedings 2013
关键词Classification; Data Analysis; Data Mining
版次1
doihttps://doi.org/10.1007/978-3-642-28894-4
isbn_softcover978-3-642-28893-7
isbn_ebook978-3-642-28894-4Series ISSN 1431-8814 Series E-ISSN 2198-3321
issn_series 1431-8814
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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https://doi.org/10.1007/978-3-319-79029-9Test. A cut-off point separating the outliers from the other observations is identified through a graphical analysis of the information collected at each step of the Forward Search procedure; the Robust Forward . is the value of the classical . statistic at the cut-off point.
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Security Problem and Solutions to M-commercedata is produced, it is easy to classify the rest of the data with reliable and stable results. The good performance of the approach is shown on a complex dataset coming from international trade data.
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Yimeei Guo,Dongsheng Yan,Weiwan Zhang in such a way that they break the independence in the table, but still they are not large enough to be easily spotted without statistical analysis. We study the change in the correspondence analysis row and column coordinates caused by the outliers and perform numerical analysis of the outlier coordinates.
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Timothy F. Slater,Coty B. Tatgeonsiderations. In both cases, we discuss the framework of CUB models introduced to analyse the ordinal responses by which people express their opinions. Specifically, the approach may be inserted as a useful routine in data mining area for improving the study of essential features supported by empirical evidence.
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