DataDriven Process Discovery and Analysis 7th IFIP WG 26 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 68, 2017, Revised Notes in Business Information Processing
Paolo Ceravolo
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DataDriven Process Discovery and Analysis 7th IFIP WG 26 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 68, 2017, Revised Notes in Business Information Processing
Online Detection of Operator Errors In Cloud Computing Using Anti-Patterns.- Executing Lifecycle Processes in Object-aware Process Management.- Towards semantic process mining through knowledge-based trace abstraction.- Mining Local Process Models and their Correlations.- A linear temporal logic model checking method over finite words...
Online Detection of Operator Errors In Cloud Computing Using Anti-Patterns.- Executing Lifecycle Processes in Object-aware Process Management.- Towards semantic process mining through knowledge-based trace abstraction.- Mining Local Process Models and their Correlations.- A linear temporal logic model checking method over finite words...
DataDriven Process Discovery and Analysis 7th IFIP WG 26...
Resumo
DataDriven Process Discovery and Analysis 7th IFIP WG 26 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 68, 2017, Revised Notes in Business Information Processing
Nº de Páginas:
Encadernação: Capa Mole / Paperback
Tema: Data mining
Online Detection of Operator Errors In Cloud Computing Using Anti-Patterns.- Executing Lifecycle Processes in Object-aware Process Management.- Towards semantic process mining through knowledge-based trace abstraction.- Mining Local Process Models and their Correlations.- A linear temporal logic model checking method over finite words with correlated transition attributes.- A Report-driven Approach to design Multidimensional Models.
Nº de Páginas:
Encadernação: Capa Mole / Paperback
Tema: Data mining
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DataDriven Process Discovery and Analysis 7th IFIP WG 26 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 68, 2017, Revised Notes in Business Information Processing
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Características
- Editora
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Springer
- Idiomas
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Inglês
- Data de lançamento
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18/01/2019
- Peso
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0,0
- Colecção
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Data mining
- Série/Edição Limitada
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1st ed. 2019
- EAN
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9783030116378
Publicidade
Publicidade