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Advances in Data Analysis, Data Handling and Business Intelligence

by Fink, Andreas.
Authors: Lausen, Berthold.%editor. | Seidel, Wilfried.%editor. | Ultsch, Alfred.%editor. | SpringerLink (Online service) Series: Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814 Physical details: XXVI, 695p. 172 illus., 68 illus. in color. online resource. ISBN: 364201044X Subject(s): Computer science. | Data mining. | Artificial intelligence. | Statistics. | Management information systems. | Computer Science. | Artificial Intelligence (incl. Robotics). | Statistics, general. | Business Information Systems. | Data Mining and Knowledge Discovery.
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E-Book E-Book AUM Main Library 006.3 (Browse Shelf) Not for loan

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.

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.

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