In recent years, process mining emerged as a new and exciting collection of analysis approaches. Process mining combines process models and event data in various novel ways. As a result, one can find out what people and organizations really do. For example, process models can be automatically discovered from event data. Compliance can be checked by confronting models with event data. Bottleneck...

Software Process Intelligence (SPI) is an emerging and evolving discipline involving mining and analysis of software processes. This is modeled on the lines of Business Process Intelligence (BPI), but with the focus on software processes and its applicability in software systems. Process mining consists of mining event log and process trace data for the purpose of process discovery (run-time pr...

The increasing amounts of data have affected conceptual modeling as a research field. In this context, process mining involves set techniques aimed at extracting schema from an event log generated during execution. While automatic algorithms for and analysis are needed to filter out irrelevant produce preliminary results, visual inspection, domain knowledge, human judgment creativity proper int...

Abstract Organizations have a vital interest in continuously improving their business processes. Process analysts can use process mining tools that provide data-driven discovery and analysis of processes to achieve this. Current research has mainly focused on creating evaluating new or reporting case studies from different domains. Although usage increased industry, insights into how work with ...

Software Process Intelligence (SPI) is an emerging and evolving discipline involving mining and analysis of software processes. This is modeled on the lines of Business Process Intelligence (BPI), but with the focus on software processes and its applicability in software systems. Process mining consists of mining event log and process trace data for the purpose of process discovery (run-time pr...

Process mining aims to discover, monitor and improve real processes by extracting knowledge from event logs abundantly available in today’s information systems. Although process mining has been applied in hundreds of organizations and process mining techniques have been embedded in a variety of commercial tools, to date these techniques have rarely been used for analyzing web services. One of t...

Process mining is gaining more and more attention both in industry and practice. As such, the number of process mining products is steadily increasing. However, none of these products allow for composing and executing analysis workflows consisting of multiple process mining algorithms. As a result, the analyst needs to perform repetitive process mining tasks manually and scientific process expe...