• Media type: E-Book; Conference Proceedings
  • Title: Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III
  • Contains: Dynamic networks and knowledge discoveryInteractions 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.
  • Contributor: Calders, Toon [Author]; Esposito, Floriana [Editor]; Hüllermeier, Eyke [Editor]; Meo, Rosa [Editor]
  • Published: Berlin, Heidelberg: Springer, 2014
  • Published in: Lecture notes in computer science ; 8726
    Bücher
  • Extent: Online-Ressource (XXXVI, 533 p. 155 illus, online resource)
  • Language: English
  • DOI: 10.1007/978-3-662-44845-8
  • ISBN: 9783662448458
  • Identifier:
  • Keywords: Computer science ; Optical pattern recognition ; Computer Science ; Data mining ; Information storage and retrieval systems ; Artificial intelligence ; Pattern recognition systems. ; Konferenzschrift
  • Origination:
  • Footnote: Literaturangaben
  • Description: 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