Visual Analytics meets Process Mining: Challenges and Opportunities
Event data or traces of activities often exhibit unexpected behavior and complex relations. Thus, before and during the application of automated analysis methods, such as process mining algorithms, the analyst needs to investigate and understand the data at hand in order to decide which analysis methods might be appropriate. Visual Analytics integrates the outstanding capabilities of humans in terms of visual information exploration with the enormous processing power of computers to form a powerful knowledge discovery environment. The combination of visual data exploration with process mining algorithms makes complex information structures more comprehensible and facilitates new insights.
In this talk, we will illustrate the various concepts of visual process mining, focusing on the challenges, but also the great opportunities for analyzing process data with Visual Analytics methods.
Elastic Processes: Maintainability, Correctness, and Reliability
This talk addresses research challenges dealing with the questions on how to integrate the Internet of Things with software, people, and processes, considering modern Cloud Computing and Elasticity principles. A system is elastic if it has the capacity to change or to be changed based on its context, taking into account not only resource scalability, but also cost and quality aspects. This talk addresses the main principles of elasticity, presents a fresh look at this problem, and examines how to integrate people, software services, and things into one composite system, which can be modeled, programmed, and deployed on a large scale in an elastic way. This novel paradigm has major consequences on how we view, build, design, and deploy ultra-large scale distributed systems.
In particular, we will discuss elastic processes and how changes in inter-organizational processes (IOP) can be reflected in elastic processes, and how IOPs can become the foundation for elastic systems.