Process mining is a growing and promising study area focused on understanding processes
and to help capture the more significant findings during real execution rather than, those …

In this paper we describe a method to discover frequent behavioral patterns in event logs.
We express these patterns as local process models. Local process model mining can be …

Organizations increasingly rely on business process analysis to improve operations
performance. Process Mining can be exploited to distill models from real process executions …

Abstract Local Process Models (LPM) describe structured fragments of process behavior
occurring in the context of less structured business processes. Traditional LPM discovery …

University degrees are typically organized in courses with prerequisites among them. If
prerequisite are not mandatory, students are left free to attend courses and take exams in …

Sequential pattern mining and temporal association rule mining techniques are established
techniques to mine insights into the data collected by smart home environments and …

Every day a huge amount of data is generated by users of social media platforms, like
Facebook, Twitter and so on. Analyzing data posted by people interested in a given topic or …

In recent years, more and more effort was put in the design and development of smart
environments, which are aimed at improving the life quality of people, providing users with …

Abstract Domains like emergency management, health care, or research and innovation
development, are characterized by the execution of so-called knowledge-intensive …

In this demo we introduce ESub, a tool aimed at visualizing the outcome provided by a
frequent subgraph mining algorithm, ie SUBDUE. Such a tool has been developed as a …