Log-based transactional workflow mining
Abstract A continuous evolution of business process parameters, constraints and needs, hardly foreseeable initially, requires a continuous design from the business process management systems. In this article we are interested in developing a reactive design through process log analysis ensuring proc...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Gaaloul, Walid [verfasserIn] Gaaloul, Khaled [verfasserIn] Bhiri, Sami [verfasserIn] Haller, Armin [verfasserIn] Hauswirth, Manfred [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2009 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Distributed and parallel databases - New York, NY [u.a.] : Consultants Bureau, 1993, 25(2009), 3 vom: 14. März, Seite 193-240 |
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| Übergeordnetes Werk: |
volume:25 ; year:2009 ; number:3 ; day:14 ; month:03 ; pages:193-240 |
| Links: |
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| DOI / URN: |
10.1007/s10619-009-7040-0 |
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| Katalog-ID: |
SPR011816155 |
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| 520 | |a Abstract A continuous evolution of business process parameters, constraints and needs, hardly foreseeable initially, requires a continuous design from the business process management systems. In this article we are interested in developing a reactive design through process log analysis ensuring process re-engineering and execution reliability. We propose to analyse workflow logs to discover workflow transactional behaviour and to subsequently improve and correct related recovery mechanisms. Our approach starts by collecting workflow logs. Then, we build, by statistical analysis techniques, an intermediate representation specifying elementary dependencies between activities. These dependencies are refined to mine the transactional workflow model. The analysis of the discrepancies between the discovered model and the initially designed model enables us to detect design gaps, concerning particularly the recovery mechanisms. Thus, based on this mining step, we apply a set of rules on the initially designed workflow to improve workflow reliability. | ||
| 650 | 4 | |a Workflow mining |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Transactional workflow |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Workflow patterns |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Workflow logs |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Process mining |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Business process analysis |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Business process intelligence |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Process reengineering |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Execution reliability |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Correction |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Gaaloul, Khaled |e verfasserin |4 aut | |
| 700 | 1 | |a Bhiri, Sami |e verfasserin |4 aut | |
| 700 | 1 | |a Haller, Armin |e verfasserin |4 aut | |
| 700 | 1 | |a Hauswirth, Manfred |e verfasserin |4 aut | |
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10.1007/s10619-009-7040-0 doi (DE-627)SPR011816155 (SPR)s10619-009-7040-0-e DE-627 ger DE-627 rakwb eng 004 ASE 54.64 bkl 54.32 bkl Gaaloul, Walid verfasserin aut Log-based transactional workflow mining 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract A continuous evolution of business process parameters, constraints and needs, hardly foreseeable initially, requires a continuous design from the business process management systems. In this article we are interested in developing a reactive design through process log analysis ensuring process re-engineering and execution reliability. We propose to analyse workflow logs to discover workflow transactional behaviour and to subsequently improve and correct related recovery mechanisms. Our approach starts by collecting workflow logs. Then, we build, by statistical analysis techniques, an intermediate representation specifying elementary dependencies between activities. These dependencies are refined to mine the transactional workflow model. The analysis of the discrepancies between the discovered model and the initially designed model enables us to detect design gaps, concerning particularly the recovery mechanisms. Thus, based on this mining step, we apply a set of rules on the initially designed workflow to improve workflow reliability. Workflow mining (dpeaa)DE-He213 Transactional workflow (dpeaa)DE-He213 Workflow patterns (dpeaa)DE-He213 Workflow logs (dpeaa)DE-He213 Process mining (dpeaa)DE-He213 Business process analysis (dpeaa)DE-He213 Business process intelligence (dpeaa)DE-He213 Process reengineering (dpeaa)DE-He213 Execution reliability (dpeaa)DE-He213 Correction (dpeaa)DE-He213 Gaaloul, Khaled verfasserin aut Bhiri, Sami verfasserin aut Haller, Armin verfasserin aut Hauswirth, Manfred verfasserin aut Enthalten in Distributed and parallel databases New York, NY [u.a.] : Consultants Bureau, 1993 25(2009), 3 vom: 14. März, Seite 193-240 (DE-627)269539093 (DE-600)1475521-X 1573-7578 nnns volume:25 year:2009 number:3 day:14 month:03 pages:193-240 https://dx.doi.org/10.1007/s10619-009-7040-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.64 ASE 54.32 ASE AR 25 2009 3 14 03 193-240 |
| spelling |
10.1007/s10619-009-7040-0 doi (DE-627)SPR011816155 (SPR)s10619-009-7040-0-e DE-627 ger DE-627 rakwb eng 004 ASE 54.64 bkl 54.32 bkl Gaaloul, Walid verfasserin aut Log-based transactional workflow mining 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract A continuous evolution of business process parameters, constraints and needs, hardly foreseeable initially, requires a continuous design from the business process management systems. In this article we are interested in developing a reactive design through process log analysis ensuring process re-engineering and execution reliability. We propose to analyse workflow logs to discover workflow transactional behaviour and to subsequently improve and correct related recovery mechanisms. Our approach starts by collecting workflow logs. Then, we build, by statistical analysis techniques, an intermediate representation specifying elementary dependencies between activities. These dependencies are refined to mine the transactional workflow model. The analysis of the discrepancies between the discovered model and the initially designed model enables us to detect design gaps, concerning particularly the recovery mechanisms. Thus, based on this mining step, we apply a set of rules on the initially designed workflow to improve workflow reliability. Workflow mining (dpeaa)DE-He213 Transactional workflow (dpeaa)DE-He213 Workflow patterns (dpeaa)DE-He213 Workflow logs (dpeaa)DE-He213 Process mining (dpeaa)DE-He213 Business process analysis (dpeaa)DE-He213 Business process intelligence (dpeaa)DE-He213 Process reengineering (dpeaa)DE-He213 Execution reliability (dpeaa)DE-He213 Correction (dpeaa)DE-He213 Gaaloul, Khaled verfasserin aut Bhiri, Sami verfasserin aut Haller, Armin verfasserin aut Hauswirth, Manfred verfasserin aut Enthalten in Distributed and parallel databases New York, NY [u.a.] : Consultants Bureau, 1993 25(2009), 3 vom: 14. März, Seite 193-240 (DE-627)269539093 (DE-600)1475521-X 1573-7578 nnns volume:25 year:2009 number:3 day:14 month:03 pages:193-240 https://dx.doi.org/10.1007/s10619-009-7040-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-BBI SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 54.64 ASE 54.32 ASE AR 25 2009 3 14 03 193-240 |
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Enthalten in Distributed and parallel databases 25(2009), 3 vom: 14. März, Seite 193-240 volume:25 year:2009 number:3 day:14 month:03 pages:193-240 |
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Workflow mining Transactional workflow Workflow patterns Workflow logs Process mining Business process analysis Business process intelligence Process reengineering Execution reliability Correction |
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Gaaloul, Walid @@aut@@ Gaaloul, Khaled @@aut@@ Bhiri, Sami @@aut@@ Haller, Armin @@aut@@ Hauswirth, Manfred @@aut@@ |
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In this article we are interested in developing a reactive design through process log analysis ensuring process re-engineering and execution reliability. We propose to analyse workflow logs to discover workflow transactional behaviour and to subsequently improve and correct related recovery mechanisms. Our approach starts by collecting workflow logs. Then, we build, by statistical analysis techniques, an intermediate representation specifying elementary dependencies between activities. These dependencies are refined to mine the transactional workflow model. The analysis of the discrepancies between the discovered model and the initially designed model enables us to detect design gaps, concerning particularly the recovery mechanisms. 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Gaaloul, Walid |
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Gaaloul, Walid ddc 004 bkl 54.64 bkl 54.32 misc Workflow mining misc Transactional workflow misc Workflow patterns misc Workflow logs misc Process mining misc Business process analysis misc Business process intelligence misc Process reengineering misc Execution reliability misc Correction Log-based transactional workflow mining |
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004 ASE 54.64 bkl 54.32 bkl Log-based transactional workflow mining Workflow mining (dpeaa)DE-He213 Transactional workflow (dpeaa)DE-He213 Workflow patterns (dpeaa)DE-He213 Workflow logs (dpeaa)DE-He213 Process mining (dpeaa)DE-He213 Business process analysis (dpeaa)DE-He213 Business process intelligence (dpeaa)DE-He213 Process reengineering (dpeaa)DE-He213 Execution reliability (dpeaa)DE-He213 Correction (dpeaa)DE-He213 |
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ddc 004 bkl 54.64 bkl 54.32 misc Workflow mining misc Transactional workflow misc Workflow patterns misc Workflow logs misc Process mining misc Business process analysis misc Business process intelligence misc Process reengineering misc Execution reliability misc Correction |
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ddc 004 bkl 54.64 bkl 54.32 misc Workflow mining misc Transactional workflow misc Workflow patterns misc Workflow logs misc Process mining misc Business process analysis misc Business process intelligence misc Process reengineering misc Execution reliability misc Correction |
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log-based transactional workflow mining |
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Log-based transactional workflow mining |
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Abstract A continuous evolution of business process parameters, constraints and needs, hardly foreseeable initially, requires a continuous design from the business process management systems. In this article we are interested in developing a reactive design through process log analysis ensuring process re-engineering and execution reliability. We propose to analyse workflow logs to discover workflow transactional behaviour and to subsequently improve and correct related recovery mechanisms. Our approach starts by collecting workflow logs. Then, we build, by statistical analysis techniques, an intermediate representation specifying elementary dependencies between activities. These dependencies are refined to mine the transactional workflow model. The analysis of the discrepancies between the discovered model and the initially designed model enables us to detect design gaps, concerning particularly the recovery mechanisms. Thus, based on this mining step, we apply a set of rules on the initially designed workflow to improve workflow reliability. |
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Abstract A continuous evolution of business process parameters, constraints and needs, hardly foreseeable initially, requires a continuous design from the business process management systems. In this article we are interested in developing a reactive design through process log analysis ensuring process re-engineering and execution reliability. We propose to analyse workflow logs to discover workflow transactional behaviour and to subsequently improve and correct related recovery mechanisms. Our approach starts by collecting workflow logs. Then, we build, by statistical analysis techniques, an intermediate representation specifying elementary dependencies between activities. These dependencies are refined to mine the transactional workflow model. The analysis of the discrepancies between the discovered model and the initially designed model enables us to detect design gaps, concerning particularly the recovery mechanisms. Thus, based on this mining step, we apply a set of rules on the initially designed workflow to improve workflow reliability. |
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Abstract A continuous evolution of business process parameters, constraints and needs, hardly foreseeable initially, requires a continuous design from the business process management systems. In this article we are interested in developing a reactive design through process log analysis ensuring process re-engineering and execution reliability. We propose to analyse workflow logs to discover workflow transactional behaviour and to subsequently improve and correct related recovery mechanisms. Our approach starts by collecting workflow logs. Then, we build, by statistical analysis techniques, an intermediate representation specifying elementary dependencies between activities. These dependencies are refined to mine the transactional workflow model. The analysis of the discrepancies between the discovered model and the initially designed model enables us to detect design gaps, concerning particularly the recovery mechanisms. Thus, based on this mining step, we apply a set of rules on the initially designed workflow to improve workflow reliability. |
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| score |
7.401127 |