Abstract
Process discovery algorithms aim to capture process orchestration models from event logs. These algorithms have been designed for logs in which events that belong to the same case are related to each other - and to that case - by means of a unique case identifier. However, in service oriented systems these case identifiers are usually not stored beyond request-response pairs, which makes it hard to relate
events that belong to the same case. This is known as the correlation challenge. This paper addresses the correlation challenge by introducing a new process discovery algorithm, called the correlation miner, that facilitates process discovery when events are not associated with a case identifier. Experiments performed on both synthetic and real-world event logs show the applicability of the correlation miner.
Original language | English |
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Title of host publication | Service-Oriented Computing : 13th international conference, ICSOC 2015, Goa, India, November 16-19, 2015 : proceedings |
Editors | A. Barros, D. Grigori, N.C. Narendra, H.K. Dam |
Place of Publication | Dordrecht |
Publisher | Springer |
Pages | 237-252 |
ISBN (Electronic) | 978-3-662-48616-0 |
ISBN (Print) | 978-3-662-48615-3 |
DOIs | |
Publication status | Published - 2015 |
Event | 13th International Conference on Service-Oriented Computing (ICSOC 2015) - Goa, India Duration: 16 Nov 2015 → 19 Nov 2015 Conference number: 13 http://icsoc.in/ |
Publication series
Name | Lecture notes in computer science |
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Publisher | Springer |
Volume | 9435 |
ISSN (Print) | 0302-9743 |
Conference
Conference | 13th International Conference on Service-Oriented Computing (ICSOC 2015) |
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Abbreviated title | ICSOC 2015 |
Country/Territory | India |
City | Goa |
Period | 16/11/15 → 19/11/15 |
Internet address |