Invited Talk
Keynote by Wil M.P. van der Aalst
Desire Lines and Cow Paths in Big Data ? Aligning and Distributing Event logs and Process Models
Abstract: Desire lines refer to tracks worn across grassy spaces - where people naturally walk - regardless of formal pathways. Process mining reveals the desire lines in organizations using event data. The spectacular growth of event data provides an opportunity to lift the maturity BPM research (facts rather than fiction). Process discovery techniques automatically construct models from event logs showing cow paths, desire lines, bottlenecks, and detours. Conformance checking techniques analyze differences between observed behavior and modeled behavior. The talk will focus on the alignment between process model and event log and defines four conformance notions. Moreover, it will discuss ways of dealing with big data. In particular, it will introduce the new notion of “passages” that can be used to decompose and distribute process mining problems.
Short bio: Prof.dr.ir. Wil van der Aalst is a full professor of Information Systems at the Technische Universiteit Eindhoven (TU/e). Currently he is also an adjunct professor at Queensland University of Technology (QUT) working within the BPM group there. His research interests include workflow management, process mining, Petri nets, business process management, process modeling, and process analysis. Wil van der Aalst has published more than 150 journal papers, 17 books (as author or editor), 300 refereed conference/workshop publications, and 50 book chapters. Many of his papers are highly cited (he has an H-index of more than 92 according to Google Scholar, making him the European computer scientist with the highest H-index) and his ideas have influenced researchers, software developers, and standardization committees working on process support. He has been a co-chair of many conferences including the Business Process Management conference, the International Conference on Cooperative Information Systems, the International conference on the Application and Theory of Petri Nets, and the IEEE International Conference on Services Computing. He is also editor/member of the editorial board of several journals, including the Distributed and Parallel Databases, the International Journal of Business Process Integration and Management, the International Journal on Enterprise Modelling and Information Systems Architectures, Computers in Industry, Business & Information Systems Engineering, IEEE Transactions on Services Computing, Lecture Notes in Business Information Processing, and Transactions on Petri Nets and Other Models of Concurrency. In 2012, he received the degree of doctor honoris causa from Hasselt University. He is also a member of the Royal Holland Society of Sciences and Humanities (Koninklijke Hollandsche Maatschappij der Wetenschappen) and the Academy of Europe (Academia Europaea).
Invited Talk one by Hyerim Bae
Sate of the art BPM in Korea
In Korea, BPM research has actively been conducted from the middle of 1990’s, and till now, there has been much achievement from both side of academy and industry. Academic research has been driven mostly by Industrial Engineers, Computer Engineers at major universities. At the same time, Korean companies implemented and released variety of BPM products and successfully installed the products by carrying out BPM projects in the fields of manufacturing, finance, public administration, logistics and so on. In this talk, we introduce sate of the art BPM research in Korea by addressing researchers, their research themes, and applications. We also discuss about possible international collaboration among Asian-Pacific countries by explaining BPM projects in Korea.
Invited Talk two by Minseok Song
Process Mining: concepts and applications
Process mining aims at deriving useful information from event logs. Process mining techniques are getting more interest among researcher and practitioners, and there are many case studies have been reported to show the applicability of process mining in many fields. Moreover, a wide range of techniques are developed to handle workflow process models from real-life process logs. In this talk, we are going to explain recent research works in process mining. To give practical insights, real life case studies will be explained.
