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A bottom-up workflow mining approach for workflow applications analysis

Identifieur interne : 000393 ( PascalFrancis/Corpus ); précédent : 000392; suivant : 000394

A bottom-up workflow mining approach for workflow applications analysis

Auteurs : Walid Gaaloul ; Karim Baïna ; Claude Godart

Source :

RBID : Pascal:07-0484865

Descripteurs français

English descriptors

Abstract

Engineering workflow applications are becoming more and more complex, involving numerous interacting business objects within considerable processes. Analysing the interaction structure of those complex applications will enable them to be well understood, controlled, and redesigned. Our contribution to workflow mining is a statistical technique to discover workflow patterns from event-based log. Our approach is characterised by a "local" workflow patterns discovery that allows to cover partial results through a dynamic programming algorithm. Those local discovered workflow patterns are then composed iteratively until discovering the global workflow model. Our approach has been implemented within our prototype WorkflowMiner.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A05       @2 4055
A08 01  1  ENG  @1 A bottom-up workflow mining approach for workflow applications analysis
A09 01  1  ENG  @1 Data engineering issues in E-commerce and services : Second international workshop, DEECS 2006, San Francisco, CA, USA, June 26, 2006 : proceedings
A11 01  1    @1 GAALOUL (Walid)
A11 02  1    @1 BAÏNA (Karim)
A11 03  1    @1 GODART (Claude)
A14 01      @1 LORIA -INRIA -CNRS -UMR 7503 BP 239 @2 54506 Vandoeuvre-lès-Nancy @3 FRA @Z 1 aut. @Z 3 aut.
A14 02      @1 ENSIAS, Université Mohammed V -Souissi, BP 713 @2 Agdal -Rabat @3 MAR @Z 2 aut.
A20       @1 182-197
A21       @1 2006
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A43 01      @1 INIST @2 16343 @5 354000153601920150
A44       @0 0000 @1 © 2007 INIST-CNRS. All rights reserved.
A45       @0 20 ref.
A47 01  1    @0 07-0484865
A60       @1 P @2 C
A61       @0 A
A64 01  1    @0 Lecture notes in computer science
A66 01      @0 DEU
A66 02      @0 USA
C01 01    ENG  @0 Engineering workflow applications are becoming more and more complex, involving numerous interacting business objects within considerable processes. Analysing the interaction structure of those complex applications will enable them to be well understood, controlled, and redesigned. Our contribution to workflow mining is a statistical technique to discover workflow patterns from event-based log. Our approach is characterised by a "local" workflow patterns discovery that allows to cover partial results through a dynamic programming algorithm. Those local discovered workflow patterns are then composed iteratively until discovering the global workflow model. Our approach has been implemented within our prototype WorkflowMiner.
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C03 01  X  ENG  @0 Electronic trade @5 01
C03 01  X  SPA  @0 Comercio electronico @5 01
C03 02  X  FRE  @0 Orienté service @5 02
C03 02  X  ENG  @0 Service oriented @5 02
C03 02  X  SPA  @0 Orientado servicio @5 02
C03 03  X  FRE  @0 Collecticiel @5 06
C03 03  X  ENG  @0 Groupware @5 06
C03 03  X  SPA  @0 Groupware @5 06
C03 04  X  FRE  @0 Workflow @5 07
C03 04  X  ENG  @0 Workflow @5 07
C03 04  X  SPA  @0 Workflow @5 07
C03 05  X  FRE  @0 Fouille donnée @5 08
C03 05  X  ENG  @0 Data mining @5 08
C03 05  X  SPA  @0 Busca dato @5 08
C03 06  X  FRE  @0 Gestion entreprise @5 09
C03 06  X  ENG  @0 Firm management @5 09
C03 06  X  SPA  @0 Administración empresa @5 09
C03 07  X  FRE  @0 Gestion intégrée @5 10
C03 07  X  ENG  @0 Integrated management @5 10
C03 07  X  SPA  @0 Gestión integrada @5 10
C03 08  X  FRE  @0 Système réactif @5 11
C03 08  X  ENG  @0 Reactive system @5 11
C03 08  X  SPA  @0 Sistema reactivo @5 11
C03 09  X  FRE  @0 Découverte connaissance @5 12
C03 09  X  ENG  @0 Knowledge discovery @5 12
C03 09  X  SPA  @0 Descubrimiento conocimiento @5 12
C03 10  X  FRE  @0 Processus métier @5 18
C03 10  X  ENG  @0 Business process @5 18
C03 10  X  SPA  @0 Proceso oficio @5 18
C03 11  X  FRE  @0 Méthode ascendante @5 23
C03 11  X  ENG  @0 Bottom up method @5 23
C03 11  X  SPA  @0 Método ascendente @5 23
C03 12  X  FRE  @0 Analyse statistique @5 24
C03 12  X  ENG  @0 Statistical analysis @5 24
C03 12  X  SPA  @0 Análisis estadístico @5 24
C03 13  X  FRE  @0 Approche probabiliste @5 25
C03 13  X  ENG  @0 Probabilistic approach @5 25
C03 13  X  SPA  @0 Enfoque probabilista @5 25
C03 14  X  FRE  @0 Programmation dynamique @5 26
C03 14  X  ENG  @0 Dynamic programming @5 26
C03 14  X  SPA  @0 Programación dinámica @5 26
C03 15  X  FRE  @0 Modélisation @5 27
C03 15  X  ENG  @0 Modeling @5 27
C03 15  X  SPA  @0 Modelización @5 27
N21       @1 316
N44 01      @1 OTO
N82       @1 OTO
pR  
A30 01  1  ENG  @1 International Workshop on Data Engineering Issues in E-Commerce and Services @2 2 @3 San Francisco USA @4 2006

Format Inist (serveur)

NO : PASCAL 07-0484865 INIST
ET : A bottom-up workflow mining approach for workflow applications analysis
AU : GAALOUL (Walid); BAÏNA (Karim); GODART (Claude)
AF : LORIA -INRIA -CNRS -UMR 7503 BP 239/54506 Vandoeuvre-lès-Nancy/France (1 aut., 3 aut.); ENSIAS, Université Mohammed V -Souissi, BP 713/Agdal -Rabat/Maroc (2 aut.)
DT : Publication en série; Congrès; Niveau analytique
SO : Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2006; Vol. 4055; Pp. 182-197; Bibl. 20 ref.
LA : Anglais
EA : Engineering workflow applications are becoming more and more complex, involving numerous interacting business objects within considerable processes. Analysing the interaction structure of those complex applications will enable them to be well understood, controlled, and redesigned. Our contribution to workflow mining is a statistical technique to discover workflow patterns from event-based log. Our approach is characterised by a "local" workflow patterns discovery that allows to cover partial results through a dynamic programming algorithm. Those local discovered workflow patterns are then composed iteratively until discovering the global workflow model. Our approach has been implemented within our prototype WorkflowMiner.
CC : 001D02B07D; 001D02B04
FD : Commerce électronique; Orienté service; Collecticiel; Workflow; Fouille donnée; Gestion entreprise; Gestion intégrée; Système réactif; Découverte connaissance; Processus métier; Méthode ascendante; Analyse statistique; Approche probabiliste; Programmation dynamique; Modélisation
ED : Electronic trade; Service oriented; Groupware; Workflow; Data mining; Firm management; Integrated management; Reactive system; Knowledge discovery; Business process; Bottom up method; Statistical analysis; Probabilistic approach; Dynamic programming; Modeling
SD : Comercio electronico; Orientado servicio; Groupware; Workflow; Busca dato; Administración empresa; Gestión integrada; Sistema reactivo; Descubrimiento conocimiento; Proceso oficio; Método ascendente; Análisis estadístico; Enfoque probabilista; Programación dinámica; Modelización
LO : INIST-16343.354000153601920150
ID : 07-0484865

Links to Exploration step

Pascal:07-0484865

Le document en format XML

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<s0>Modelización</s0>
<s5>27</s5>
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<s1>International Workshop on Data Engineering Issues in E-Commerce and Services</s1>
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<s3>San Francisco USA</s3>
<s4>2006</s4>
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<server>
<NO>PASCAL 07-0484865 INIST</NO>
<ET>A bottom-up workflow mining approach for workflow applications analysis</ET>
<AU>GAALOUL (Walid); BAÏNA (Karim); GODART (Claude)</AU>
<AF>LORIA -INRIA -CNRS -UMR 7503 BP 239/54506 Vandoeuvre-lès-Nancy/France (1 aut., 3 aut.); ENSIAS, Université Mohammed V -Souissi, BP 713/Agdal -Rabat/Maroc (2 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
<SO>Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2006; Vol. 4055; Pp. 182-197; Bibl. 20 ref.</SO>
<LA>Anglais</LA>
<EA>Engineering workflow applications are becoming more and more complex, involving numerous interacting business objects within considerable processes. Analysing the interaction structure of those complex applications will enable them to be well understood, controlled, and redesigned. Our contribution to workflow mining is a statistical technique to discover workflow patterns from event-based log. Our approach is characterised by a "local" workflow patterns discovery that allows to cover partial results through a dynamic programming algorithm. Those local discovered workflow patterns are then composed iteratively until discovering the global workflow model. Our approach has been implemented within our prototype WorkflowMiner.</EA>
<CC>001D02B07D; 001D02B04</CC>
<FD>Commerce électronique; Orienté service; Collecticiel; Workflow; Fouille donnée; Gestion entreprise; Gestion intégrée; Système réactif; Découverte connaissance; Processus métier; Méthode ascendante; Analyse statistique; Approche probabiliste; Programmation dynamique; Modélisation</FD>
<ED>Electronic trade; Service oriented; Groupware; Workflow; Data mining; Firm management; Integrated management; Reactive system; Knowledge discovery; Business process; Bottom up method; Statistical analysis; Probabilistic approach; Dynamic programming; Modeling</ED>
<SD>Comercio electronico; Orientado servicio; Groupware; Workflow; Busca dato; Administración empresa; Gestión integrada; Sistema reactivo; Descubrimiento conocimiento; Proceso oficio; Método ascendente; Análisis estadístico; Enfoque probabilista; Programación dinámica; Modelización</SD>
<LO>INIST-16343.354000153601920150</LO>
<ID>07-0484865</ID>
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