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Machine Learning and Data Mining in Pattern Recognition 9th International Conference, MLDM 2013, New York, NY, USA, July 19-25, 2013, Proceedings /
This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cov...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2013.
|
| Edición: | 1st ed. 2013. |
| Colección: | Lecture Notes in Artificial Intelligence,
7988 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 245 | 1 | 0 | |a Machine Learning and Data Mining in Pattern Recognition |h [electronic resource] : |b 9th International Conference, MLDM 2013, New York, NY, USA, July 19-25, 2013, Proceedings / |c edited by Petra Perner. |
| 250 | |a 1st ed. 2013. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2013. | |
| 300 | |a XII, 660 p. 199 illus. |b online resource. | ||
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| 490 | 1 | |a Lecture Notes in Artificial Intelligence, |x 2945-9141 ; |v 7988 | |
| 505 | 0 | |a Theoretical topics for classification -- Clustering -- Association rule and pattern mining.- Specific data mining methods for the different multimedia data types.- Image mining -- Text mining -- Video mining.-Web mining. | |
| 520 | |a This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining. | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 1 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Data Mining and Knowledge Discovery. |
| 650 | 2 | 4 | |a Automated Pattern Recognition. |
| 650 | 2 | 4 | |a Algorithms. |
| 700 | 1 | |a Perner, Petra. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 830 | 0 | |a Lecture Notes in Artificial Intelligence, |x 2945-9141 ; |v 7988 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-642-39712-7 |z Texto Completo |
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