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Titlebook: Exploratory Data Analysis in Empirical Research; Proceedings of the 2 Manfred Schwaiger,Otto Opitz Conference proceedings 2003 Springer-Ver

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發(fā)表于 2025-3-21 19:58:43 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Exploratory Data Analysis in Empirical Research
副標(biāo)題Proceedings of the 2
編輯Manfred Schwaiger,Otto Opitz
視頻videohttp://file.papertrans.cn/320/319445/319445.mp4
概述Includes supplementary material:
叢書名稱Studies in Classification, Data Analysis, and Knowledge Organization
圖書封面Titlebook: Exploratory Data Analysis in Empirical Research; Proceedings of the 2 Manfred Schwaiger,Otto Opitz Conference proceedings 2003 Springer-Ver
描述Facing rapidly growing challenges in empirical research, this volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The interested reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences.
出版日期Conference proceedings 2003
關(guān)鍵詞Cluster analysis; Estimator; Measure; Sage; Statistical Models; Time series; algorithms; best fit; buying; cl
版次1
doihttps://doi.org/10.1007/978-3-642-55721-7
isbn_softcover978-3-540-44183-0
isbn_ebook978-3-642-55721-7Series ISSN 1431-8814 Series E-ISSN 2198-3321
issn_series 1431-8814
copyrightSpringer-Verlag Berlin Heidelberg 2003
The information of publication is updating

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Sanjay P. Ahuja,Michael Recht,Barbara Konkle the two issues, that is, to take into account dependence rules on probabilistic data. This is accomplished by introducing new generality measures with an appropriate generalization operator. This approach allows for the extension of a symbolic clustering method to constrained probabilistic data.
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John Horan,Henrik Hasle,Soheil Meshinchirthemore, this paper introduce an algorithm, computing the domain error of a classifier of the model, which can be used as an evaluation function of the classifier with respect to the matching problem. The exeprimental results, presented in this paper, illustrate the usefulness of the evaluation.
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Ben A. Croker BSc,Nicos A. Nicola PhD vertex degrees. These results are applied to study the asymptotic properties of such random intersection graphs for the special case that the distribution .. is degenerated. The application of this model to find clusters and to test their randomness especially for non-metric data is discussed.
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Kim-Hien T. Dao,H. M. Jamieson Catrionathe algorithm performs an input selection over 9 observed characteristics yielding in a statement which attributes are important with respect to the diagnosis of malignant or benign type of cancer. Results achieved by using different types of basis functions are presented.
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Conference proceedings 2003ta Analysis. The interested reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences.
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https://doi.org/10.1007/978-94-017-7312-6, possibly blurring the smoothed images. To preserve potentially existing edges, this article presents some robust alternatives to the Gaussian choice. Inference is based on MCMC techniques. The performance of the new approaches will be demonstrated for simulated as well as for real data.
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Hematopoietic and Lymphoid Tissue in Cultureic approach, which allows to simultaneously incorporate effects of space, time and further covariates within a joint model. The method is applied to analyze costs of hospital treatment and accommodation for a large data set from a German health insurance company.
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