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Titlebook: Data Science; Innovative Developme Francesco Palumbo,Angela Montanari,Maurizio Vichi Conference proceedings 2017 Springer International Pub

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发表于 2025-3-21 16:43:49 | 显示全部楼层 |阅读模式
书目名称Data Science
副标题Innovative Developme
编辑Francesco Palumbo,Angela Montanari,Maurizio Vichi
视频video
概述Presents the latest advances in data analysis, classification and clustering.Includes contributions on classification methods for high-dimensional data.Fosters further methodological and applied resea
丛书名称Studies in Classification, Data Analysis, and Knowledge Organization
图书封面Titlebook: Data Science; Innovative Developme Francesco Palumbo,Angela Montanari,Maurizio Vichi Conference proceedings 2017 Springer International Pub
描述.This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015..
出版日期Conference proceedings 2017
关键词data science; clustering; data analysis; classification; classification methods for high-dimensional dat
版次1
doihttps://doi.org/10.1007/978-3-319-55723-6
isbn_softcover978-3-319-55722-9
isbn_ebook978-3-319-55723-6Series ISSN 1431-8814 Series E-ISSN 2198-3321
issn_series 1431-8814
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Applications of Cauchy’s Integral Formula based on the following measures: sensitivity, specificity and AUC. In the study, both univariate (Tukey’s criterion) and multivariate (projection depth function) methods for detecting outliers were considered. The study covered construction companies in Poland in the years 2005–2009.
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Coexisting General Medical Diseasesata on certain variables can thus be missing if such variables were not included in all protocols. This issue is addressed by referring to a clinical case study concerning the role of Autonomic Nervous System in the evaluation of subjects’ health status.
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Classification Methods in the Research on the Financial Standing of Construction Enterprises After B based on the following measures: sensitivity, specificity and AUC. In the study, both univariate (Tukey’s criterion) and multivariate (projection depth function) methods for detecting outliers were considered. The study covered construction companies in Poland in the years 2005–2009.
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