Title :
Mining Workflow Processes from XML-Based Distributed Workflow Event Logs
Author_Institution :
Dept. of Comput. Sci., Kyonggi Univ., Suwon, South Korea
Abstract :
In this paper, we particularly focus on mining the behavioral aspect of workflows from XML-based workflow enactment event logs, which are vertically (semantic-driven distribution) or horizontally (syntactic-driven distribution) distributed over the networked workflow enactment components. That is, this paper proposes a distributed workflow mining approach that is able to rediscover ICN-based structured workflow process models through incrementally amalgamating a series of vertically or horizontally fragmented temporal workcases. The approach has two essential algorithms; One is a temporal fragment discovery algorithm that is able to discover a set of temporal fragment models from the fragmented workflow enactment event logs, and the other is a workflow process mining algorithm that rediscovers a structured workflow process model from the discovered temporal fragment models. Where, the temporal fragment model represents the concrete model of the XML-based distributed workflow fragment events log.
Keywords :
XML; data mining; workflow management software; ICN-based structured workflow process models; XML-based distributed workflow event logs; distributed workflow mining approach; semantic-driven distribution; syntactic-driven distribution; Application software; Cloud computing; Computer science; Concrete; Convergence; Distributed computing; Grid computing; Parallel processing; Software tools; Workflow management software; distributed workflow management system; events log; horizontal fragment; temporal fragment; vertical fragment; workflow fragmentation; workflow process mining;
Conference_Titel :
Parallel Processing Workshops, 2009. ICPPW '09. International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-1-4244-4923-1
Electronic_ISBN :
1530-2016
DOI :
10.1109/ICPPW.2009.43