Data-Driven Process Discovery and Analysis SIMPDA 2018 December Seville Spain -

II * Research Papers

 Ensuring Confidentiality in Process Mining

Majid Rafiei, Leopold von Waldthausen and Wil van der Aalst Modelling Business Processes for Outsourcing into the Fog and Cloud Computing Louar Fadila, Zarour Karim and Benmerzoug Djamel

 Analyzing Business Process Changes Using Influence Analysis

Teemu Lehto, Markku Hinkka and Jaakko Hollmen * Short Papers Prediction of Business Process Instances with Dynamic Bayesian Networks Jens Brunk, Kate Revoredo, Matthias Stierle, Martin Matzner, Patrick Delfmann and Jorg Becker Standardizing Process Data Exploitation by means of a Process Instance Metamodel Antonio Cancela, Antonia M. Reina Quintero, Alejandro Garca-Garca, Maria Teresa Gomez-Lopez StarStar Models: Using Events at Database Level for Process Analysis Alessandro Berti and Wil van der Aalst

 Process Enhancement in Process Mining: A Literature Review

Fitri Almira Yasmin, Faiza Allah Bukhsh and Patricio de Alencar Silva

 Process mining of events log from Windows

Radim Dolak, Milena Janakova, Josef Botlik III

Conference Organization

* Conference Co-Chairs Paolo Ceravolo, Università degli Studi di Milano, Italy M. Teresa Gómez López, University of Seville, Spain Maurice Van Keulen, University of Twente, The Netherlands * Advisory Board Ernesto Damiani, Università degli Studi di Milano, Italy Erich Neuhold, University of Vienna, Austria Philippe Cudré-Mauroux, University of Fribourg, Switzerland Robert Meersman, Graz University of Technology, Austria * Local organizer M. Teresa Gómez López, University of Seville, Spain * Publicity Chair Fulvio Frati, Università degli Studi di Milano, Italy
 * Keynote Speaker JOSEP CARMONA DEPARTMENT OF COMPUTER SCIENCE, UNIVERSITAT POLITÈCNICA DE CATALUNYA RELATING EVENT DATA AND PROCESS MODELS: THE ADVENT OF CONFORMANCE CHECKING Conformance checking is one of the fundamental dimensions of process mining. It is acknowledged by the process mining community that the most important challenge to overcome in the area is the problem of relating event data and process models.

Alignments are meant to address exactly this challenge. However, alignments are very hard to compute in some cases, which prevents them to be fully adopted in practice. In this keynote I will provide an overview of the techniques developed in my group, or in collaboration with the other groups, about recent algorithms for solving different instantiations of the alignment problem.


 Program Committee

VII

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