Optimizing Waste Collection: A Data Mining Approach

AuthID
P-00R-X59
3
Author(s)
Londres, G
·
2
Editor(s)
Cellier,P;Driessens,K
Document Type
Proceedings Paper
Year published
2020
Published
in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2019, PT I in Communications in Computer and Information Science, ISSN: 1865-0929
Volume: 1167, Pages: 570-578 (9)
Conference
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (Ecml Pkdd), Date: SEP 16-20, 2019, Location: Wurzburg, GERMANY, Sponsors: Bosch, Fraunhofer IAIS, Huawei, ASML, IBM Res, NEC, Kreditech, McKinsey & Co, KNIME, European Res Ctr Informat Syst, Odgers Berndtson, Springer, Vogel Stiftung, German Res Fdn
Indexing
Publication Identifiers
Dblp: conf/pkdd/LondresFG19
Scopus: 2-s2.0-85083712375
Wos: WOS:000718585100045
Source Identifiers
ISSN: 1865-0929
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