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Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II by Dennis Leman, Ad Feelders, Arno Knobbe (auth.), Walter Daelemans, Bart Goethals, Katharina Morik (eds.) is a nonfiction available to read on EtoBox.
What is Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II about?
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques. Erscheinungsdatum: 04.09.2008
Who reads Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Dennis Leman, Ad Feelders, Arno Knobbe (auth.), Walter Daelemans, Bart Goethals, Katharina Morik (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Published
- 2008
- Language
- EN
- ISBN
- 9783540874782
- Category
- nonfiction
- Subjects
- Mathematics, Science, Management
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