• Genere: Libro
  • Lingua: Inglese
  • Editore: Springer
  • Pubblicazione: 09/2014
  • Edizione: 2014

Machine Learning and Knowledge Discovery in Databases

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54,98 €
52,23 €
AGGIUNGI AL CARRELLO
TRAMA
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.

SOMMARIO
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.

ALTRE INFORMAZIONI
  • Condizione: Nuovo
  • ISBN: 9783662448502
  • Collana: Lecture Notes in Computer Science
  • Dimensioni: 235 x 155 mm
  • Formato: Brossura
  • Illustration Notes: XXXIV, 715 p. 200 illus.
  • Pagine Arabe: 715
  • Pagine Romane: xxxiv