Process Mining: Fuzzy Clustering and Performance Visualization

The goal of performance analysis of business processes is to gain insights into operational processes, for the purpose of optimizing them. To intuitively show which parts of the process might be improved, performance analysis results can be projected onto process models. This way, bottlenecks can quickly be identified and resolved. Unfortunately, for many operational processes, good models, describing the process accurately and intuitively are unavailable. Process mining, or more precisely, process discovery, aims at deriving such models from events logged by information systems. However many mining techniques assume that all events in an event log are logged at the same level of ion, which in practice is often not the case. Furthermore, many mining algorithms produce results that are hard to understand by process specialists. In this paper, we propose a simple clustering algorithm to derive a model from an event log, such that this model only contains a limited set of nodes and edges...

• Type: Conference
• Year: 2009
• Where: BPM
• Authors: Boudewijn F. van Dongen, A. Adriansyah
• Keywords: BPM 2009, Business, Event Log, Operational Processes, Performance Analysis