6 citations · 9 across the 6 of their papers we have counts for
7 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…
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.
Agent Miner: An Algorithm for Discovering Agent Systems from Event Data
Andrei Tour, Artem Polyvyanyy, Anna Kalenkova +1
Process discovery studies ways to use event data generated by business processes and recorded by IT systems to construct models that describe the processes. Existing discovery algo…
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…
Automated Repair of Process Models with Non-Local Constraints Using State-Based Region Theory
Anna Kalenkova, Josep Carmona, Artem Polyvyanyy +1
State-of-the-art process discovery methods construct free-choice process models from event logs. Consequently, the constructed models do not take into account indirect dependencies…
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining
Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio +6
This paper presents a command-line tool, called Entropia, that implements a family of conformance checking measures for process mining founded on the notion of entropy from informa…