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Fink, Andreas.
Advances in Data Analysis, Data Handling and Business Intelligence Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008 / [electronic resource] : edited by Andreas Fink, Berthold Lausen, Wilfried Seidel, Alfred Ultsch. - XXVI, 695p. 172 illus., 68 illus. in color. online resource. - Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814 .
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.
9783642010446
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.
Q334-342 TJ210.2-211.495
006.3
Advances in Data Analysis, Data Handling and Business Intelligence Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008 / [electronic resource] : edited by Andreas Fink, Berthold Lausen, Wilfried Seidel, Alfred Ultsch. - XXVI, 695p. 172 illus., 68 illus. in color. online resource. - Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814 .
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.
9783642010446
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.
Q334-342 TJ210.2-211.495
006.3