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170127s2017 gw | s |||| 0|eng d |
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|a 9783319534350
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|a 10.1007/978-3-319-53435-0
|2 doi
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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|a Data-Driven Process Discovery and Analysis :
|b 5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised Selected Papers /
|c edited by Paolo Ceravolo, Stefanie Rinderle-Ma.
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|a 1st ed. 2017.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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|a IX, 185 p. 78 illus. :
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Lecture Notes in Business Information Processing,
|v 244
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|a A Framework for Safety-critical Process Management in Engineering Projects -- Business Process Reporting Using Process Mining, Analytic Workflows and Process Cubes: A Case Study in Education -- Detecting Changes in Process Behavior Using Comparative Case Clustering -- - Using Domain Knowledge to Enhance Process Mining Results -- - Aligning Process Model Terminology with Hypernym Relations -- Time Series Petri Net Models: Enrichment and Prediction -- Visual Analytics Meets Process Mining: Challenges and Opportunities -- A Relational Data Warehouse for Multidimensional Process Mining. .
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|a Data mining.
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|a Management information systems.
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|a Industrial management.
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|a Application software.
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|a Data Mining and Knowledge Discovery.
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4 |
|a Business Process Management.
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4 |
|a Information Systems Applications (incl. Internet).
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650 |
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|a Computer Appl. in Administrative Data Processing.
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1 |
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|a Ceravolo, Paolo.
|e editor.
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|a Rinderle-Ma, Stefanie.
|e editor.
|0 (orcid)0000-0001-5656-6108
|1 https://orcid.org/0000-0001-5656-6108
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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