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 GodartSource :
-
Lecture notes in computer science [ 0302-9743 ] ; 2006.
RBID : Pascal:07-0484865
Descripteurs français
- Pascal (Inist)
- 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.
English descriptors
- KwdEn :
- Bottom up method,
Business process,
Data mining,
Dynamic programming,
Electronic trade,
Firm management,
Groupware,
Integrated management,
Knowledge discovery,
Modeling,
Probabilistic approach,
Reactive system,
Service oriented,
Statistical analysis,
Workflow.
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.
pA |
A01 | 01 | 1 | | @0 0302-9743 |
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A05 | | | | @2 4055 |
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A08 | 01 | 1 | ENG | @1 A bottom-up workflow mining approach for workflow applications analysis |
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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 |
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A11 | 01 | 1 | | @1 GAALOUL (Walid) |
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A11 | 02 | 1 | | @1 BAÏNA (Karim) |
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A11 | 03 | 1 | | @1 GODART (Claude) |
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A14 | 01 | | | @1 LORIA -INRIA -CNRS -UMR 7503 BP 239 @2 54506 Vandoeuvre-lès-Nancy @3 FRA @Z 1 aut. @Z 3 aut. |
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A14 | 02 | | | @1 ENSIAS, Université Mohammed V -Souissi, BP 713 @2 Agdal -Rabat @3 MAR @Z 2 aut. |
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A20 | | | | @1 182-197 |
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A21 | | | | @1 2006 |
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A23 | 01 | | | @0 ENG |
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A26 | 01 | | | @0 3-540-35440-9 |
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A43 | 01 | | | @1 INIST @2 16343 @5 354000153601920150 |
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A44 | | | | @0 0000 @1 © 2007 INIST-CNRS. All rights reserved. |
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A45 | | | | @0 20 ref. |
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A47 | 01 | 1 | | @0 07-0484865 |
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A60 | | | | @1 P @2 C |
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A61 | | | | @0 A |
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A64 | 01 | 1 | | @0 Lecture notes in computer science |
---|
A66 | 01 | | | @0 DEU |
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A66 | 02 | | | @0 USA |
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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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C02 | 01 | X | | @0 001D02B07D |
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C02 | 02 | X | | @0 001D02B04 |
---|
C03 | 01 | X | FRE | @0 Commerce électronique @5 01 |
---|
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 |
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C03 | 04 | X | ENG | @0 Workflow @5 07 |
---|
C03 | 04 | X | SPA | @0 Workflow @5 07 |
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C03 | 05 | X | FRE | @0 Fouille donnée @5 08 |
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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 |
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C03 | 08 | X | ENG | @0 Reactive system @5 11 |
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C03 | 08 | X | SPA | @0 Sistema reactivo @5 11 |
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C03 | 09 | X | FRE | @0 Découverte connaissance @5 12 |
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C03 | 09 | X | ENG | @0 Knowledge discovery @5 12 |
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C03 | 09 | X | SPA | @0 Descubrimiento conocimiento @5 12 |
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C03 | 10 | X | FRE | @0 Processus métier @5 18 |
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C03 | 10 | X | ENG | @0 Business process @5 18 |
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C03 | 10 | X | SPA | @0 Proceso oficio @5 18 |
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C03 | 11 | X | FRE | @0 Méthode ascendante @5 23 |
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C03 | 11 | X | ENG | @0 Bottom up method @5 23 |
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C03 | 11 | X | SPA | @0 Método ascendente @5 23 |
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C03 | 12 | X | FRE | @0 Analyse statistique @5 24 |
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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 |
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C03 | 14 | X | FRE | @0 Programmation dynamique @5 26 |
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C03 | 14 | X | ENG | @0 Dynamic programming @5 26 |
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C03 | 14 | X | SPA | @0 Programación dinámica @5 26 |
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C03 | 15 | X | FRE | @0 Modélisation @5 27 |
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C03 | 15 | X | ENG | @0 Modeling @5 27 |
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C03 | 15 | X | SPA | @0 Modelización @5 27 |
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N21 | | | | @1 316 |
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N44 | 01 | | | @1 OTO |
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N82 | | | | @1 OTO |
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|
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 |
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|
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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<s5>24</s5>
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<fC03 i1="12" i2="X" l="ENG"><s0>Statistical analysis</s0>
<s5>24</s5>
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<fC03 i1="12" i2="X" l="SPA"><s0>Análisis estadístico</s0>
<s5>24</s5>
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<fC03 i1="13" i2="X" l="FRE"><s0>Approche probabiliste</s0>
<s5>25</s5>
</fC03>
<fC03 i1="13" i2="X" l="ENG"><s0>Probabilistic approach</s0>
<s5>25</s5>
</fC03>
<fC03 i1="13" i2="X" l="SPA"><s0>Enfoque probabilista</s0>
<s5>25</s5>
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<fC03 i1="14" i2="X" l="FRE"><s0>Programmation dynamique</s0>
<s5>26</s5>
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<s5>26</s5>
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<s5>27</s5>
</fC03>
<fC03 i1="15" i2="X" l="ENG"><s0>Modeling</s0>
<s5>27</s5>
</fC03>
<fC03 i1="15" i2="X" l="SPA"><s0>Modelización</s0>
<s5>27</s5>
</fC03>
<fN21><s1>316</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
<pR><fA30 i1="01" i2="1" l="ENG"><s1>International Workshop on Data Engineering Issues in E-Commerce and Services</s1>
<s2>2</s2>
<s3>San Francisco USA</s3>
<s4>2006</s4>
</fA30>
</pR>
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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>
</server>
</inist>
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