Advances in Data Analysis, Data Handling and Business Intelligence
Andreas Fink (Hrsg.), Wilfried Seidel (Hrsg.), Alfred Ultsch (Hrsg.), Berthold Lausen (Hrsg.)
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Naturwissenschaften, Medizin, Informatik, Technik / Informatik
Beschreibung
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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computer science, intelligence, cognition, classification, modeling, business intelligence, machine learning, artificial intelligence, service-oriented computing, Clustering, linguistics, pattern recognition, learning, data analysis