{
"item_title" : "Data-Driven Process Discovery and Analysis",
"item_author" : [" Paolo Ceravolo", "Maurice Van Keulen", "Kilian Stoffel "],
"item_description" : "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.",
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Data-Driven Process Discovery and Analysis : 7th Ifip Wg 2.6 International Symposium, Simpda 2017, Neuchatel, Switzerland, December 6-8, 2017, Revised
Overview
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.
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Details
- ISBN-13: 9783030116378
- ISBN-10: 3030116379
- Publisher: Springer
- Publish Date: January 2019
- Dimensions: 9.21 x 6.14 x 0.3 inches
- Shipping Weight: 0.45 pounds
- Page Count: 129
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