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 / edited by Hermann Locarek-Junge, Claus Weihs
(Studies in Classification, Data Analysis, and Knowledge Organization)
データ種別 | 電子ブック |
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出版情報 | Berlin, Heidelberg : Springer Berlin Heidelberg , 2010 |
本文言語 | 英語 |
大きさ | XXXVI, 823 p. 236 illus : online resource |
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内容注記 | Plenaries Classification and Data Analysis: Classification Data Analysis Applications: Archeaology and Spatial Planning Bio-Sciences Electronic Data and Web Finance and Banking Linguistics Marketing Music Science Quality Assurance and Engineering |
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一般注記 | 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 |
著者標目 | Locarek-Junge, Hermann editor Weihs, Claus editor SpringerLink (Online service) |
件 名 | LCSH:Mathematics LCSH:Data mining LCSH:Artificial intelligence LCSH:Probabilities LCSH:Statistics FREE:Mathematics FREE:Probability Theory and Stochastic Processes FREE:Data Mining and Knowledge Discovery FREE:Artificial Intelligence (incl. Robotics) FREE:Statistical Theory and Methods FREE:Statistics and Computing/Statistics Programs |
分 類 | DC23:519.2 |
巻冊次 | ISBN:9783642107450 |
ISBN | 9783642107450 |
URL | http://dx.doi.org/10.1007/978-3-642-10745-0 |
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