index - Data-Driven Process Discovery and Analysis
   


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Table of Contents
Data-Driven Process Discovery and Analysis
Wil Aalst, John Mylopoulos, Michael Rosemann, Michael Shaw, Clemens Szyperski, Philippe Cudre-Mauroux, Paolo Ceravolo, Dragan Gašević (Eds.)
Front Matter
A Lightweight RDF Data Model for Business Process Analysis
Marcello Leida, Basim Majeed, Maurizio Colombo, Andrej Chu
1-23
Combination of Process Mining and Simulation Techniques for Business Process Redesign: A Methodological Approach
Santiago Aguirre, Carlos Parra, Jorge Alvarado
24-43
Improving Business Process Models Using Observed Behavior
J. Buijs, M. Rosa, H. Reijers, B. Dongen, W. Aalst
44-59
Process Prediction in Noisy Data Sets: A Case Study in a Dutch Hospital
Sjoerd Spoel, Maurice Keulen, Chintan Amrit
60-83
Towards Automatic Capturing of Semi-structured Process Provenance
Andreas Wombacher, Mohammad Huq
84-99
Managing Structural and Textual Quality of Business Process Models
Jan Mendling
100-111

 

 


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