German-Japanese Interchange of Data Analysis Results [electronic resource] / edited by Wolfgang Gaul, Andreas Geyer-Schulz, Yasumasa Baba, Akinori Okada.

Contributor(s):

Material type: Text

TextSeries: Studies in Classification, Data Analysis, and Knowledge OrganizationPublisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XIII, 267 p. 47 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319012643

Subject(s):

Additional physical formats: Printed edition:: No titleDDC classification:

519.5 23

LOC classification:

QA276-280

Online resources:

Click here to access online

Contents:

Clustering -- Analysis of Data and Models -- Applications.

In: Springer eBooksSummary: This volume focuses on innovative approaches and recent developments in clustering, analysis of data and models, and applications: The first part of the book covers a broad range of innovations in the area of clustering, from algorithmic innovations for graph clustering to new visualization and evaluation techniques. The second part addresses new developments in data and decision analysis (conjoint analysis, non-additive utility functions, analysis of asymmetric relationships, and regularization techniques). The third part is devoted to the application of innovative data analysis methods in the life-sciences, the social sciences and in engineering. All contributions in this volume are revised and extended versions of selected papers presented in the German/Japanese Workshops at Karlsruhe (2010) and Kyoto (2012). .

Holdings ( 1 )
Title notes ( 2 )

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
eBook	e-Library	EBook		Available

Total holds: 0

Clustering -- Analysis of Data and Models -- Applications.

This volume focuses on innovative approaches and recent developments in clustering, analysis of data and models, and applications: The first part of the book covers a broad range of innovations in the area of clustering, from algorithmic innovations for graph clustering to new visualization and evaluation techniques. The second part addresses new developments in data and decision analysis (conjoint analysis, non-additive utility functions, analysis of asymmetric relationships, and regularization techniques). The third part is devoted to the application of innovative data analysis methods in the life-sciences, the social sciences and in engineering. All contributions in this volume are revised and extended versions of selected papers presented in the German/Japanese Workshops at Karlsruhe (2010) and Kyoto (2012). .