Willkommen, schön sind Sie da!
Logo Ex Libris

Machine Learning and Knowledge Discovery in Databases

  • Kartonierter Einband
  • 572 Seiten
(0) Erste Bewertung abgeben
Bewertungen
(0)
(0)
(0)
(0)
(0)
Alle Bewertungen ansehen
This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning... Weiterlesen
CHF 104.00
Print on Demand - Auslieferung erfolgt in der Regel innert 4 bis 6 Wochen.
Bestellung & Lieferung in eine Filiale möglich

Beschreibung

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.

Inhalt

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.

Produktinformationen

Titel: Machine Learning and Knowledge Discovery in Databases
Untertitel: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III
Editor:
EAN: 9783662448441
ISBN: 3662448440
Format: Kartonierter Einband
Herausgeber: Springer Berlin Heidelberg
Anzahl Seiten: 572
Gewicht: 855g
Größe: H235mm x B155mm x T30mm
Jahr: 2014
Untertitel: Englisch
Auflage: 2014

Weitere Produkte aus der Reihe "Lecture Notes in Artificial Intelligence"