Lausen, B and van den Poel, D and Ultsch, A (2013) Algorithms from and for Nature and Life: Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization . Springer, Berlin. ISBN 978-3-319-00034-3.
Lausen, B and van den Poel, D and Ultsch, A (2013) Algorithms from and for Nature and Life: Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization . Springer, Berlin. ISBN 978-3-319-00034-3.
Lausen, B and van den Poel, D and Ultsch, A (2013) Algorithms from and for Nature and Life: Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization . Springer, Berlin. ISBN 978-3-319-00034-3.
Abstract
This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicology describe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl), the German Association for Pattern Recognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011.?
| Item Type: | Book |
|---|---|
| Additional Information: | Joint Conference of the German Classification Society (GfKl), the German Association for Pattern Recognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS), University of Frankfurt, Frankfurt a.M., August 30 - September 2, 2011 |
| Subjects: | H Social Sciences > HA Statistics H Social Sciences > HF Commerce Q Science > QA Mathematics |
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Mathematics, Statistics and Actuarial Science, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 05 Sep 2014 14:18 |
| Last Modified: | 16 May 2024 18:23 |
| URI: | http://repository.essex.ac.uk/id/eprint/9964 |