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Titlebook: Data Analysis and Rationality in a Complex World; Theodore Chadjipadelis,Berthold Lausen,Rebecca Nug Conference proceedings 2021 Springer

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書目名稱Data Analysis and Rationality in a Complex World
編輯Theodore Chadjipadelis,Berthold Lausen,Rebecca Nug
視頻videohttp://file.papertrans.cn/263/262656/262656.mp4
概述Presents the latest developments in classification, clustering and data analysis, including complex and aggregated data analysis.Features a variety of applications in economics, finance, computer scie
叢書名稱Studies in Classification, Data Analysis, and Knowledge Organization
圖書封面Titlebook: Data Analysis and Rationality in a Complex World;  Theodore Chadjipadelis,Berthold Lausen,Rebecca Nug Conference proceedings 2021 Springer
描述.This volume presents the latest advances in statistics and data science, including theoretical, methodological and computational developments and practical applications related to classification and clustering, data gathering, exploratory and multivariate data analysis, statistical modeling, and knowledge discovery and seeking. It includes contributions on analyzing and interpreting large, complex and aggregated datasets, and highlights numerous applications in economics, finance, computer science, political science and education. It gathers a selection of peer-reviewed contributions presented at the 16th Conference of the International Federation of Classification Societies (IFCS 2019), which was organized by the Greek Society of Data Analysis and held in Thessaloniki, Greece, on August 26-29, 2019..
出版日期Conference proceedings 2021
關(guān)鍵詞62-XX, 62-06, 62-07, 62Hxx, 62H30, 62Pxx, 62Jxx; data analysis; data science; classification; clustering
版次1
doihttps://doi.org/10.1007/978-3-030-60104-1
isbn_softcover978-3-030-60103-4
isbn_ebook978-3-030-60104-1Series ISSN 1431-8814 Series E-ISSN 2198-3321
issn_series 1431-8814
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Balbiani ring genes and their inductionps). Fertilizer mean costs will be used as supplementary points or “supplementary data”. Also, a specific data coding scheme is proposed aiming at a better presentation and interpretation of the graphical results.
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Performance Measures in Discrete Supervised Classification, and even ROC curves. Exploratory studies were conducted in this study to understand the relationship between each measure and data characteristics, namely, sample size, balance, and separability of classes. To this end, simulated data and a Beta regression model in the performance of the models were used.
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