Data-driven process discovery and analysis : third ifip wg 2.6, 2.12 international symposium, simpda 2013, riva del garda, italy, august 30, 2013, revised selected papers / edited by Paolo Ceravolo, Rafael Accorsi, Philippe Cudre-Mauroux.
Tipo de material:
TextoSeries Lecture Notes in Business Information Processing ; 203Editor: Berlin, Heidelberg : Springer Berlin Heidelberg : Springer, 2015Descripción: ix, 135 páginas : 56 ilustracionesTipo de contenido: - texto
- computadora
- recurso en línea
- 9783662464366
- QA76.9.D343
Contenidos:
The Effect of Noise on Mined Declarative Constraints -- Towards Collecting Sustainability Data in Supply Chains with Flexible Data Collection Processes -- Handling Environment for Publicly Posted Composite Documents -- Enabling Non-expert Users to Apply Data Mining for Bridging the Big Data Divide -- Combining Semantic Lifting and Ad-hoc Contextual Analysis in a Data Loss Scenario -- Comparative Process Mining in Education: An Approach Based on Process Cubes.
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The Effect of Noise on Mined Declarative Constraints -- Towards Collecting Sustainability Data in Supply Chains with Flexible Data Collection Processes -- Handling Environment for Publicly Posted Composite Documents -- Enabling Non-expert Users to Apply Data Mining for Bridging the Big Data Divide -- Combining Semantic Lifting and Ad-hoc Contextual Analysis in a Data Loss Scenario -- Comparative Process Mining in Education: An Approach Based on Process Cubes.
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