Correlation mining : mining process orchestrations without case identifiers

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

14 Citations (Scopus)

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 languageEnglish
Title of host publicationService-Oriented Computing : 13th international conference, ICSOC 2015, Goa, India, November 16-19, 2015 : proceedings
EditorsA. Barros, D. Grigori, N.C. Narendra, H.K. Dam
Place of PublicationDordrecht
PublisherSpringer
Pages237-252
ISBN (Electronic)978-3-662-48616-0
ISBN (Print)978-3-662-48615-3
DOIs
Publication statusPublished - 2015
Event13th International Conference on Service-Oriented Computing (ICSOC 2015) - Goa, India
Duration: 16 Nov 201519 Nov 2015
Conference number: 13
http://icsoc.in/

Publication series

NameLecture notes in computer science
PublisherSpringer
Volume9435
ISSN (Print)0302-9743

Conference

Conference13th International Conference on Service-Oriented Computing (ICSOC 2015)
Abbreviated titleICSOC 2015
Country/TerritoryIndia
CityGoa
Period16/11/1519/11/15
Internet address

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