Visual Process Mining: Event Data Exploration and Analysis

TitleVisual Process Mining: Event Data Exploration and Analysis
Publication TypeConference Proceedings
Year of Publication2014
AuthorsBodesinsky, P., B. Alsallakh, T. Gschwandtner, and S. Miksch
Conference NamePoster Proceedings of the IEEE Visualization Conference (VIS)
Abstract

The research field of Process Mining deals with the extraction of information from event logs. Since large amounts of event data are generated every day, analyzing these often unstructured event logs poses a research challenge. To cope with the complexity of the data and the associated mining tasks, appropriate visualizations and interactive means are needed. We present our early prototype for the visual exploration of event sequences and patterns. Our approach combines (1) a visual representation of event sequences emphasizing recurring event patterns, (2) automated pattern mining methods, as well as (3) interactive means for exploration. We provide first steps to support browsing event logs in an interactive environment and to facilitate the inspection of recurring pattern locations within the context of the surrounding events.

URLhttp://publik.tuwien.ac.at/files/PubDat_234178.pdf
Funding projects: 
CVAST