4 papers
Discovering and Analyzing Stochastic Processes to Reduce Waste in Food Retail
Anna Kalenkova, Lu Xia, Dirk Neumann
This paper proposes a novel method for analyzing food retail processes with a focus on reducing food waste. The approach integrates object-centric process mining (OCPM) with stocha…
Discovering Coordinated Processes From Social Online Networks
Anna Kalenkova, Lewis Mitchell, Ethan Johnson
The rapid growth of social media presents a unique opportunity to study coordinated agent behavior in an unfiltered environment. Online processes often exhibit complex structures t…
Performance Analysis: Discovering Semi-Markov Models From Event Logs
Anna Kalenkova, Lewis Mitchell, Matthew Roughan
Process mining is a well-established discipline of data analysis focused on the discovery of process models from information systems' event logs. Recently, an emerging subarea of p…
Elo Ratings in the Presence of Intransitivity
Adam H. Hamilton, Matthew Roughan, Anna Kalenkova
This paper studies how the Elo rating system behaves when the underlying modelling assumptions are not met.