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Titlebook: Classification, Data Analysis, and Data Highways; Proceedings of the 2 Ingo Balderjahn,Rudolf Mathar,Martin Schader Conference proceedings

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书目名称Classification, Data Analysis, and Data Highways
副标题Proceedings of the 2
编辑Ingo Balderjahn,Rudolf Mathar,Martin Schader
视频videohttp://file.papertrans.cn/228/227225/227225.mp4
概述The book contains recent developments and cross-disciplinary advances and results in the fields of data analysis and clustering methods, information sciences and database techniques.
丛书名称Studies in Classification, Data Analysis, and Knowledge Organization
图书封面Titlebook: Classification, Data Analysis, and Data Highways; Proceedings of the 2 Ingo Balderjahn,Rudolf Mathar,Martin Schader Conference proceedings
出版日期Conference proceedings 1998
关键词Boxplot; Datenanalyse; Informatik; Klassifikation; Monte-Carlo-Simulation; STATISTICA; classification; data
版次1
doihttps://doi.org/10.1007/978-3-642-72087-1
isbn_softcover978-3-540-63909-1
isbn_ebook978-3-642-72087-1Series ISSN 1431-8814 Series E-ISSN 2198-3321
issn_series 1431-8814
copyrightSpringer-Verlag Berlin · Heidelberg 1998
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Labor Supply Decisions in Germany — A Semiparametric Regression Analysis Additive Model (GAM) was chosen to avoid assumptions about the functional type of correlation and to discover characteristics in behavior. The estimator is based on a partial integration following Linton and Nielsen (1995). The analytical features of the new estimator are easier to determine than i
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A Multiplicative Approach to Partitioning the Risk of Diseaseies. The relative risk is the perhaps most popular parameter for quantifying the strength of such interrelations. The paper introduces the concept of factorial relative risks as one possibility of generalizing the relative risk parameter to the context of several interrelated exposures. An axiomatic
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Multimedia Data Analysis using ImageTclt that allows rapid prototyping and development of new components in the C++ language. Powerful user tools automate the creation of new components as well as the addition of new data types and file formats. Applications using . at the Dartmouth Experimental Visualization Laboratory (DEVLAB) include
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