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A Process Mining Approach for Discovering Etl Black Points
AuthID
P-00M-RW5
4
Author(s)
Belo, O
·
Dias, N
·
Ferreira, C
·
Pinto, F
5
Editor(s)
Rocha,A;Correia,AM;Adeli,H;Reis,LP;Costanzo,S
Document Type
Proceedings Paper
Year published
2017
Published
in
RECENT ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 2
in
Advances in Intelligent Systems and Computing,
ISSN: 2194-5357
Volume: 570, Pages: 426-435 (10)
Conference
World Conference on Information Systems and Technologies (Worldcist),
Date:
APR 11-13, 2017,
Location:
Madeira, PORTUGAL
Indexing
Wos
®
Scopus
®
Crossref
®
1
Handle
®
Google Scholar
®
Metadata
Sources
Publication Identifiers
DOI
:
10.1007/978-3-319-56538-5_43
Handle
:
https://hdl.handle.net/1822/54391
SCOPUS
: 2-s2.0-85018616687
Wos
: WOS:000425541200043
Source Identifiers
ISSN
: 2194-5357
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