The impact of biased sampling of event logs on the performance of process discovery

Autor:	Sebastiaan J. van Zelst, Mohammadreza Fani Sani, Wil M. P. van der Aalst
Rok vydání:	2021
Předmět:	Numerical Analysis Process modeling Speedup Event (computing) Business process Computer science Sample (statistics) 02 engineering and technology computer.software_genre Computer Science Applications Theoretical Computer Science Business process discovery Computational Mathematics Computational Theory and Mathematics 020204 information systems Outlier 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Data mining ddc:004 computer Software Sampling bias
Zdroj:	Computing : archives for informatics and numerical computation 103(6), 1085-1104 (2021). doi:10.1007/s00607-021-00910-4 special issue: "Special issue on QoS and security in software for wireless and mobile micro-services / edited by Ahmed Mostefaoui, Gabriele Gianini, Ernesto Damiani, Geyong Min"
ISSN:	1436-5057 0010-485X
Popis:	Computing : archives for informatics and numerical computation (2021). doi:10.1007/s00607-021-00910-4 Published by Springer, Wien [u.a.]
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::003a9f07d1fcdcb2a9b647d64a391f1e https://doi.org/10.1007/s00607-021-00910-4 Zobrazit plný text záznamu Plný text ve formátu PDF