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Mathematics - Probability Theory and Stochastic Processes | Classification as a Tool for Research - Proceedings of the 11th IFCS Biennial Conference and 33rd

Classification as a Tool for Research

Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft für Klassifikation e.V., Dresden, March 13-18, 2009

Locarek-Junge, Hermann, Weihs, Claus (Eds.)

2010, XXXVI, 823p. 236 illus..

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  • Covers topics at the intersection of statistics, mathematics, computer science and artificial intelligence
  • Concepts covered here can be applied in business and economics, marketing and finance, engineering, linguistics, archaeology, musicology, biology and medical science and more

Clustering and Classification, Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of statistics, mathematics, computer science and artificial intelligence. They cover general methods and techniques that can be applied to a vast set of applications such as in business and economics, marketing and finance, engineering, linguistics, archaeology, musicology, biology and medical science. This volume contains the revised versions of selected papers presented during the 11th Biennial IFCS Conference and 33rd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was organized in cooperation with the International Federation of Classification Societies (IFCS), and was hosted by Dresden University of Technology, Germany, in March 2009.

Content Level » Research

Keywords » artificial intelligence - biology - business intelligence - classification - clustering - data analysis - linguistics

Related subjects » Artificial Intelligence - Computational Statistics - Database Management & Information Retrieval - Probability Theory and Stochastic Processes - Statistical Theory and Methods

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