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Titlebook: Analysis of Large and Complex Data; Adalbert F.X. Wilhelm,Hans A. Kestler Conference proceedings 2016 Springer International Publishing Sw

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發(fā)表于 2025-3-21 19:33:57 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Analysis of Large and Complex Data
影響因子2023Adalbert F.X. Wilhelm,Hans A. Kestler
視頻videohttp://file.papertrans.cn/157/156388/156388.mp4
發(fā)行地址Offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields.With contributions from a variety of interdisciplinary fields.S
學(xué)科分類Studies in Classification, Data Analysis, and Knowledge Organization
圖書封面Titlebook: Analysis of Large and Complex Data;  Adalbert F.X. Wilhelm,Hans A. Kestler Conference proceedings 2016 Springer International Publishing Sw
影響因子.This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science. ..The book presents selected papers from the Second European Conference on Data Analysis, held at Jacobs University Bremen in July 2014. This conference unites diverse researchers in the pursuit of a common topic, creating truly unique synergies in the process..
Pindex Conference proceedings 2016
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Multivariate Functional Regression Analysis with Application to Classification Problems multivariate random processes; the objects are represented by functions. In this paper we discuss different types of regression model: linear and logistic. Various methods of representing functional data are also examined. The approaches discussed are illustrated with an application to two real data sets.
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https://doi.org/10.1007/978-3-319-25226-1Big Data; Classification; Cluster Analysis; Complex Data; Computational Statistics; Data Analysis; Musicol
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Adalbert F.X. Wilhelm,Hans A. KestlerOffers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields.With contributions from a variety of interdisciplinary fields.S
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Studies in Classification, Data Analysis, and Knowledge Organizationhttp://image.papertrans.cn/a/image/156388.jpg
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Analysis of Large and Complex Data978-3-319-25226-1Series ISSN 1431-8814 Series E-ISSN 2198-3321
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Quality Feature Space of Transmitted Speech, multivariate random processes; the objects are represented by functions. In this paper we discuss different types of regression model: linear and logistic. Various methods of representing functional data are also examined. The approaches discussed are illustrated with an application to two real data sets.
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https://doi.org/10.1007/978-3-7643-8882-9between the realist and anti-realist positions within the classical test theory and item response theory(IRT) psychometric traditions in measurement of latent variables(Measurement 6:25–53, 2008; Salzberger and Koller, J Bus Res 66:1307–1317, 2013). However, this bi-polar view seems to be too distan
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