index - Data-Driven Process Discovery and Analysis

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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