Towards mining structural workflow patterns

Walid Gaaloul; Karim Baïna; Claude Godart

doi:10.1007/11546924_3

Towards mining structural workflow patterns

Walid Gaaloul
, Karim Baïna
, Claude Godart

Research output: Contribution to journal › Conference article › peer-review

Abstract

Collaborative information systems are becoming more and more complex, involving numerous interacting business objects within considerable processes. Analysing the interaction structure of those complex systems will enable them to be well understood and controlled. The work described in this paper is a contribution to these problems for workflow based process applications. In fact, we discover workflow patterns from traces of workflow events based on a workflow mining technique. Workflow mining proposes techniques to acquire a workflow model from a workflow log. Mining of workflow patterns is done by a statistical analysis of log-based event. Our approach is characterised by a "local" workflow patterns discovery that allows to cover partial results and a dynamic technique dealing with concurrency.

Original language	English
Pages (from-to)	24-33
Number of pages	10
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3588
DOIs	https://doi.org/10.1007/11546924_3
Publication status	Published - 1 Jan 2005
Externally published	Yes
Event	15th International Workshop on Database and Expert Systems Applications, DEXA 2004 - Copenhagen, Denmark Duration: 22 Aug 2005 → 26 Aug 2005

Keywords

Business process reengineering
Workflow mining
Workflow patterns

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10.1007/11546924_3

Cite this

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title = "Towards mining structural workflow patterns",

abstract = "Collaborative information systems are becoming more and more complex, involving numerous interacting business objects within considerable processes. Analysing the interaction structure of those complex systems will enable them to be well understood and controlled. The work described in this paper is a contribution to these problems for workflow based process applications. In fact, we discover workflow patterns from traces of workflow events based on a workflow mining technique. Workflow mining proposes techniques to acquire a workflow model from a workflow log. Mining of workflow patterns is done by a statistical analysis of log-based event. Our approach is characterised by a {"}local{"} workflow patterns discovery that allows to cover partial results and a dynamic technique dealing with concurrency.",

keywords = "Business process reengineering, Workflow mining, Workflow patterns",

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language = "English",

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TY - JOUR

T1 - Towards mining structural workflow patterns

AU - Gaaloul, Walid

AU - Baïna, Karim

AU - Godart, Claude

PY - 2005/1/1

Y1 - 2005/1/1

N2 - Collaborative information systems are becoming more and more complex, involving numerous interacting business objects within considerable processes. Analysing the interaction structure of those complex systems will enable them to be well understood and controlled. The work described in this paper is a contribution to these problems for workflow based process applications. In fact, we discover workflow patterns from traces of workflow events based on a workflow mining technique. Workflow mining proposes techniques to acquire a workflow model from a workflow log. Mining of workflow patterns is done by a statistical analysis of log-based event. Our approach is characterised by a "local" workflow patterns discovery that allows to cover partial results and a dynamic technique dealing with concurrency.

AB - Collaborative information systems are becoming more and more complex, involving numerous interacting business objects within considerable processes. Analysing the interaction structure of those complex systems will enable them to be well understood and controlled. The work described in this paper is a contribution to these problems for workflow based process applications. In fact, we discover workflow patterns from traces of workflow events based on a workflow mining technique. Workflow mining proposes techniques to acquire a workflow model from a workflow log. Mining of workflow patterns is done by a statistical analysis of log-based event. Our approach is characterised by a "local" workflow patterns discovery that allows to cover partial results and a dynamic technique dealing with concurrency.

KW - Business process reengineering

KW - Workflow mining

KW - Workflow patterns

UR - https://www.scopus.com/pages/publications/26844582462

U2 - 10.1007/11546924_3

DO - 10.1007/11546924_3

M3 - Conference article

AN - SCOPUS:26844582462

SN - 0302-9743

VL - 3588

SP - 24

EP - 33

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

T2 - 15th International Workshop on Database and Expert Systems Applications, DEXA 2004

Y2 - 22 August 2005 through 26 August 2005

ER -

Towards mining structural workflow patterns

Abstract

Keywords

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