Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II / / 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 (XXXIV, 715 p. 200 illus.)
• Disciplina: 006.31
• 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: 3-662-44851-3
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910483159703321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Artificial Intelligence ; ; 8725