Gennady Andrienko

Developing Human-Centric Machine Learning Models for Temporal Data

Bahavathy Kathirgamanathan, Eleonora Cappuccio, Salvatore Rinzivillo, Gennady Andrienko et autres

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Semantic Trace Topics: Text-Based Encodings for Interpretable Multi-Faceted Process Exploration

Gennady Andrienko, Natalia Andrienko, Manuel Resinas, Stef van den Elzen et autres

Trace encodings are central to process mining, as they determine what aspects of an event log can be explored and how results can be interpreted. Existing approaches to multi-faceted exploration often rely on high-dimensional boolean feature vectors over events, transitions, and attributes, …

Discovering City-Scale Mobility Reconfigurations via Topic Modelling of Extreme Flows

Laleh Moussavi, Gennady Andrienko, Natalia Andrienko, Aidan Slingsby

Urban mobility is typically analysed through averages and long-term trends, yet the most informative behavioural signals often occur during periods of disruption. Strikes, extreme weather, holidays, and societal shocks do not simply alter volumes; they reconfigure the spatial structure of movement. Identifying …

Movement Data Anonymity through Generalization

Anna Monreale, FOSCA GIANNOTTI, Dino Pedreschi, Salvatore Rinzivillo et autres

Abstract. Wireless networks and mobile devices, such as mobile phones and GPS receivers, sense and track the movements of people and vehicles, producing society-wide mobility databases. This is a challenging scenario for data analysis andmining. On the one hand, exciting opportunities arise …

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