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Data-Driven Process Discovery and Analysis: Lecture Notes in Business Information Processing, cartea 244

Editat de Paolo Ceravolo, Stefanie Rinderle-Ma
en Limba Engleză Paperback – 28 ian 2017
This book constitutes the revised selected papers from the 5th IFIP WG 2.6 International Symposium  on Data-Driven Process Discovery and Analysis, SIMPDA 2015, held in Vienna, Austria in December 2015. 
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
Colecția Lecture Notes in Business Information Processing
Seria Lecture Notes in Business Information Processing

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.