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Advances in data mining : applications and theoretical aspects 13th Industrial Conference, ICDM 2013, New York, NY, USA, July 16-21, 2013 proceedings
This book constitutes the refereed proceedings of the 13th Industrial Conference on Data Mining, ICDM 2013, held in New York, NY, in July 2013. The 22 revised full papers presented were carefully reviewed and selected from 112 submissions. The topics range from theoretical aspects of data mining to...
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| Auteur principal : | |
|---|---|
| Format : | Livre |
| Langue : | anglais |
| Titre complet : | Advances in data mining : applications and theoretical aspects : 13th Industrial Conference, ICDM 2013, New York, NY, USA, July 16-21, 2013 : proceedings / edited by Petra Perner |
| Publié : |
Berlin, Heidelberg :
Springer Berlin Heidelberg
, 2013 Cham : Springer Nature |
| Collection : | Lecture Notes in Artificial Intelligence ; 7987 |
| Accès en ligne : |
Accès Nantes Université
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| Note sur l'URL : | Accès sur la plateforme de l'éditeur (Springer) Accès sur la plateforme Istex |
| Condition d'utilisation et de reproduction : | Conditions particulières de réutilisation pour les bénéficiaires des licences nationales : chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |
| Sujets : | |
| Documents associés : | Autre format:
Advances in Data Mining. Applications and Theoretical Aspects Autre format: Advances in Data Mining: Applications and Theoretical Aspects |
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| 330 | |a This book constitutes the refereed proceedings of the 13th Industrial Conference on Data Mining, ICDM 2013, held in New York, NY, in July 2013. The 22 revised full papers presented were carefully reviewed and selected from 112 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, finance and telecommunication, in medicine and agriculture, and in process control, industry and society. | ||
| 359 | 1 | |a Theoretical aspects of data mining; applications of data mining in multimedia data -- Applications of data mining in marketing and in finance -- Applications of data mining in telecommunication -- Applications of data mining in medicine and agriculture -- Applications of data mining in process control, industry and society. | |
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