Data-Driven Process Discovery and Analysis
Editat de Paolo Ceravolo, Stefanie Rinderle-Maen Limba Engleză Paperback – 28 ian 2017
The 8 papers presented in this volume were carefully reviewed and selected from 22 submissions. They cover theoretical issues related to process representation, discovery and analysis, or provide practical and operational experiences in process discovery and analysis. They focus mainly on the adoption of process mining algorithms in conjunction and coordination with other techniques and methodologies.
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Specificații
ISBN-13: 9783319534343
ISBN-10: 3319534343
Pagini: 196
Ilustrații: IX, 185 p. 78 illus.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.31 kg
Ediția:1st edition 2017
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3319534343
Pagini: 196
Ilustrații: IX, 185 p. 78 illus.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.31 kg
Ediția:1st edition 2017
Editura: Springer
Locul publicării:Cham, Switzerland
Cuprins
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.
Caracteristici
Includes supplementary material: sn.pub/extras