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 fur 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."
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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 fur 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."
Imprint | Springer-Verlag |
Country of origin | Germany |
Series | Studies in Classification, Data Analysis, and Knowledge Organization |
Release date | August 2010 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2010 |
Editors | Hermann Locarek-Junge, Claus Weihs |
Dimensions | 235 x 155 x 45mm (L x W x T) |
Format | Paperback |
Pages | 823 |
Edition | Edition. |
ISBN-13 | 978-3-642-10744-3 |
Barcode | 9783642107443 |
Categories | |
LSN | 3-642-10744-3 |