Xixi Lu

Date: 16:00 – 16:30, Thursday, 03.06.2021
Location: MS Teams ICS Colloquium

Title: Mining statistical behavioral patterns in complex processes
Abstract: Process mining is a set of techniques that enable organizations to capture and improve their processes based on fact-based process execution data. A key question in the context of process improvement is how responses to an event (action) result in desired or undesired outcomes (effects). From a process perspective, this requires understanding the action-response patterns that occur. Current process discovery techniques do not allow organizations to gain such insights.

In this talk, I will first introduce process mining and discuss the challenges that classical process discovery techniques are facing. I will then discuss our recent project with a Dutch healthcare facility, including the approach we proposed to discover action-response-effect patterns and the insights we obtained into aggressive behavior of clients and the responses of caretakers.