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Data-Driven Process Discovery and Analysis [electronic resource] : First International Symposium, SIMPDA 2011, Campione dItalia, Italy, June 29 July 1, 2011, Revised Selected Papers / edited by Karl Aberer, Ernesto Damiani, Tharam Dillon.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Lecture Notes in Business Information Processing ; 116 | Lecture Notes in Business Information Processing ; 116Editor: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Descripción: X, 213 p. 82 illus. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9783642340444
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 005.7 23
Clasificación LoC:
  • QA76.76.A65
Recursos en línea:
Contenidos:
Springer eBooksResumen: This book constitutes the thoroughly refereed proceedings of the First International Symposium on Data-Driven Process Discovery and Analysis held in Campione d'Italia, Italy, in June/July 2011.The 11 revised full papers were carefully selected from 31 submissions. In addition to the thorough review process,the lively discussions at the event itself also helped the authors to improve their papers and to foster interesting extensions. The selected papers cover a wide range of topicsspanning theoretical issues related to process representation to practical experience in process discovery and analysis.
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This book constitutes the thoroughly refereed proceedings of the First International Symposium on Data-Driven Process Discovery and Analysis held in Campione d'Italia, Italy, in June/July 2011.The 11 revised full papers were carefully selected from 31 submissions. In addition to the thorough review process,the lively discussions at the event itself also helped the authors to improve their papers and to foster interesting extensions. The selected papers cover a wide range of topicsspanning theoretical issues related to process representation to practical experience in process discovery and analysis.

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