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



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Titolo: German-Japanese Interchange of Data Analysis Results / / edited by Wolfgang Gaul, Andreas Geyer-Schulz, Yasumasa Baba, Akinori Okada Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (267 p.)
Disciplina: 519.5
Soggetto topico: Statistics 
Artificial intelligence
Statistics and Computing/Statistics Programs
Artificial Intelligence
Statistics for Business, Management, Economics, Finance, Insurance
Statistics for Social Sciences, Humanities, Law
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Statistics for Life Sciences, Medicine, Health Sciences
Persona (resp. second.): GaulWolfgang
Geyer-SchulzAndreas
BabaYasumasa
OkadaAkinori
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Clustering -- Analysis of Data and Models -- Applications.
Sommario/riassunto: 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). .
Titolo autorizzato: German-japanese interchange of data analysis results  Visualizza cluster
ISBN: 3-319-01264-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910300148903321
Lo trovi qui: Univ. Federico II
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Serie: Studies in Classification, Data Analysis, and Knowledge Organization, . 1431-8814