SIMPDA 2013
Data-driven Process Discovery and Analysis

Table of Contents

• Preface
  
  

Research Papers

• Sequential Approaches for Predicting Business Process Outcome and Process Failure Warning 1-15
  Mai Le, Detlef Nauck, Bogdan Gabrys
• Graph-Based Business Process Model Refactoring 16-30
  María Fernández-Ropero, Ricardo Pérez-Castillo, Mario Piattini
• Studies on the Discovery of Declarative Control Flows from Error-prone Data 31-45
  Claudio Di Ciccio, Massimo Mecella
• Development of a Knowledge Base for Enabling Non-expert Users to Apply Data Mining Algorithms 46-61
  Roberto Espinosa, Diego García-Saiz, Marta Zorrilla, Jose Jacobo Zubcoff, Jose-Norberto Mazón
• Using Semantic Lifting for improving Process Mining: a Data Loss Prevention System case study 62-73
  Antonia Azzini, Chiara Braghin, Ernesto Damiani, Francesco Zavatarelli
• Challenges of Applying Adaptive Processes to Enable Variability in Sustainability Data Collection 74-88
  Gregor Grambow, Nicolas Mundbrod, Vivian Steller, Manfred Reichert
• Enhancing the Case Handling Paradigm to Support Object-aware Processes 89-103
  Carolina Ming Chiao, Vera Künzle, Manfred Reichert
• Knowledge and Business Intelligence Technologies in Cross-Enterprise Environments for Italian Advanced Mechanical Industry Project Presentation 104-110
  Francesco Arigliano, Antonia Azzini, Chiara Braghin, Antonio Caforio, Paolo Ceravolo, Ernesto Damiani, Vincenzo Savarino, Claudia Vicari, Francesco Zavatarelli
• On Process Rewriting for Business Process Security 111-126
  Rafael Accorsi