A Process Mining Approach for Discovering Etl Black Points

AuthID
 P-00M-RW5
4
Author(s)
Dias, N
·
Ferreira, C
·
Pinto, F
5
Editor(es)
Rocha,A;Correia,AM;Adeli,H;Reis,LP;Costanzo,S
Tipo de Documento
Proceedings Paper
Year published
2017
Publicado
in RECENT ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 2 in Advances in Intelligent Systems and Computing, ISSN: 2194-5357
Volume: 570, Páginas: 426-435 (10)
Conference
World Conference on Information Systems and Technologies (Worldcist), Date: APR 11-13, 2017, Location: Madeira, PORTUGAL
Indexing
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Scopus®
Crossref®1
Handle®
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85018616687
Wos: WOS:000425541200043
Source Identifiers
ISSN: 2194-5357
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