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Titolo: | Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I / / edited by Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo |
Pubblicazione: | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
Edizione: | 1st ed. 2014. |
Descrizione fisica: | 1 online resource (XLIV, 709 p. 183 illus.) |
Disciplina: | 006.312 |
Soggetto topico: | Data mining |
Artificial intelligence | |
Pattern recognition | |
Information storage and retrieval | |
Data Mining and Knowledge Discovery | |
Artificial Intelligence | |
Pattern Recognition | |
Information Storage and Retrieval | |
Persona (resp. second.): | CaldersToon |
EspositoFloriana | |
HüllermeierEyke | |
MeoRosa | |
Note generali: | Bibliographic Level Mode of Issuance: Monograph |
Nota di contenuto: | Dynamic networks and knowledge discovery -- Interactions between data mining and natural language processing -- Mining ubiquitous and social environments -- Statistically sound data mining -- Machine learning for urban sensor data -- Multi-target prediction -- Representation learning -- Neural connectomics: from imaging to connectivity -- Data analytics for renewable energy integration -- Linked data for knowledge discovery -- New frontiers in mining complex patterns -- Experimental economics and machine learning -- Learning with multiple views: applications to computer vision and multimedia mining -- Generalization and reuse of machine learning models over multiple contexts -- Predictive web analytics. |
Sommario/riassunto: | This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases. |
Titolo autorizzato: | Machine Learning and Knowledge Discovery in Databases |
ISBN: | 3-662-44848-3 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 996202524503316 |
Lo trovi qui: | Univ. di Salerno |
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