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Advances in Data Analysis

Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8-10, 2006

Language EnglishEnglish
Book Paperback
Book Advances in Data Analysis Reinhold Decker
Libristo code: 01568188
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, February 2007
The book focuses on exploratory data analysis, learning of latent structures in datasets, and unscra... Full description
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The book focuses on exploratory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. It covers a broad range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It provides new approaches for information retrieval and data mining. Furthermore, the book reports challenging applications in marketing and management science, banking and finance, bio- and health sciences, linguistics and text analysis, statistical musicology and sound classification, as well as archaeology. Special emphasis is put on interdisciplinary research and the interaction between theory and practice.

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About the book

Full name Advances in Data Analysis
Author Reinhold Decker, Hans-Joachim Lenz
Language English
Binding Book - Paperback
Date of issue 2007
Number of pages 687
EAN 9783540709800
ISBN 3540709800
Libristo code 01568188
Publishers Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Weight 1062
Dimensions 155 x 235 x 38

Categories

Society & Social Sciences > Sociology & anthropology > Sociology > Social research & statistics
Medicine & Nursing > Medicine: general issues > Public health & preventive medicine > Epidemiology & medical statistics
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Mathematics & Science > Mathematics > Probability & statistics
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Computer security > Data encryption
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