Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III / edited by Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavalda, Dino Pedreschi, Francesco Bonchi, Jaime Cardoso, Myra Spiliopoulou

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: SpringerLink Bücher | Lecture notes in computer science ; 9286Verlag: Cham [u.a.] : Springer, 2015Auflage: 1st ed. 2015Beschreibung: Online-Ressource (XXX, 345 p. 122 illus, online resource)ISBN:

9783319234618

Schlagwörter:

Genre/Form:

Konferenzschrift

Andere physische Formen: 9783319234601 | Erscheint auch als: Machine learning and knowledge discovery in databases ; Pt. 3. Druck-Ausgabe. Cham [u.a.] : Springer, 2015. XXX, 345 S.DDC-Klassifikation:

006.312

LOC-Klassifikation:

QA76.9.D343

DOI: DOI: 10.1007/978-3-319-23461-8Online-Ressourcen:

Zusammenfassung: The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track.PPN: PPN: 1657934594Package identifier: Produktsigel: ZDB-2-SXCS | ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SEB

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