Advances in Data Analysis, Data Handling and Business Intelligence

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Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as in marketing, finance, economics, engineering, linguistics, archaeology, musicology, medical science, and biology. This volume contains the revised versions of selected papers presented during the 32nd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation, GfKl). The conference, which was organized in cooperation with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), was hosted by Helmut-Schmidt-University, Hamburg, Germany, in July 2008.


Includes supplementary material: sn.pub/extras

Inhalt
Invited.- Clustering and Classification.- Mixture Analysis.- Linguistics and Text Analysis.- Pattern Recognition and Machine Learning.- Statistical Musicology.- Banking and Finance.- Marketing, Management Science and Economics.- Archaeology and Spatial Planning.- Bio- and Health Sciences.- Exploratory Data Analysis, Modeling and Applications.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783642010439
    • Editor Andreas Fink, Alfred Ultsch, Wilfried Seidel, Berthold Lausen
    • Sprache Englisch
    • Auflage 2010
    • Größe H235mm x B155mm x T44mm
    • Jahr 2009
    • EAN 9783642010439
    • Format Kartonierter Einband
    • ISBN 3642010431
    • Veröffentlichung 06.11.2009
    • Titel Advances in Data Analysis, Data Handling and Business Intelligence
    • Untertitel Proceedings of the 32nd Annual Conference of the Gesellschaft fr Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, Ju
    • Gewicht 1218g
    • Herausgeber Springer Berlin Heidelberg
    • Anzahl Seiten 820
    • Lesemotiv Verstehen
    • Genre Informatik

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