Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I / edited by Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, Carlos Soares, João Gama, Alípio Jorge

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Lecture notes in computer science ; 9284Publisher: Cham [u.a.] : Springer, 2015Edition: 1st ed. 2015Description: Online-Ressource (LVIII, 709 p. 160 illus, online resource)ISBN:

9783319235288

Subject(s):

Genre/Form:

Konferenzschrift

Additional physical formats: 9783319235271 | Erscheint auch als: Machine learning and knowledge discovery in databases ; Pt. 1. Druck-Ausgabe. Cham [u.a.] : Springer, 2015. LVIII, 709 S.DDC classification:

006.312

LOC classification:

QA76.9.D343

DOI: DOI: 10.1007/978-3-319-23528-8Online resources:

Summary: 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, and 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: 1657934845Package identifier: Produktsigel: ZDB-2-SXCS | ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SEB

Holdings ( 0 )

No physical items for this record