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Classification, Automation, and New Media : Proceedings of the 24th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Passau, March 15-17, 2000

Author: Wolfgang Gaul; Gunter Ritter
Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2002.
Series: Studies in classification, data analysis, and knowledge organization.
Edition/Format:   eBook : Bibliographic data : EnglishView all editions and formats
Summary:
Given the huge amount of information in the internet and in practically every domain of knowledge that we are facing today, knowledge discovery calls for automation. The book deals with methods from classification and data analysis that respond effectively to this rapidly growing challenge. The interested reader will find new methodological insights as well as applications in economics, management science, finance,  Read more...
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Genre/Form: Electronic books
Statistics
Additional Physical Format: Print version:
Bock, H.-H.
Classification, Automation, and New Media : Proceedings of the 24.
Berlin/Heidelberg : Springer Berlin Heidelberg, ©2002
Material Type: Bibliographic data, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Wolfgang Gaul; Gunter Ritter
ISBN: 9783642559914 3642559913
OCLC Number: 840292110
Description: 1 online resource (XII, 535 pages 101 illustrations).
Contents: Data Analysis, Statistics, and Classification --
Pattern Recognition and Automation --
Data Mining, Information Processing, and Automation --
New Media, Web Mining, and Automation --
Applications in Management Science, Finance, and Marketing --
Applications in Medicine, Biology, Archaeology, and Others --
Author Index --
Subject Index.
Series Title: Studies in classification, data analysis, and knowledge organization.
Responsibility: edited by Wolfgang Gaul, Gunter Ritter.

Abstract:

Given the huge amount of information in the internet and in practically every domain of knowledge that we are facing today, knowledge discovery calls for automation. The book deals with methods from classification and data analysis that respond effectively to this rapidly growing challenge. The interested reader will find new methodological insights as well as applications in economics, management science, finance, and marketing, and in pattern recognition, biology, health, and archaeology.

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