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20102023
most citedPredictive Business Process Monitoring with LSTM Neural Networks

527 citations · 1.5k across the 47 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.OH2019

Business Process Variant Analysis: Survey and Classification

Farbod Taymouri, Marcello La Rosa, Marlon Dumas +1

Process variant analysis aims at identifying and addressing the differences existing in a set of process executions enacted by the same process model. A process model can be execut…

cs.CR2019

Secure Multi-Party Computation for Inter-Organizational Process Mining

Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Marlon Dumas +3

Process mining is a family of techniques for analysing business processes based on event logs extracted from information systems. Mainstream process mining tools are designed for i…

cs.SE2019

Scalable Alignment of Process Models and Event Logs: An Approach Based on Automata and S-Components

Daniel Reißner, Abel Armas-Cervantes, Raffaele Conforti +3

Given a model of the expected behavior of a business process and an event log recording its observed behavior, the problem of business process conformance checking is that of ident…

cs.SE2019★ 158 cited

Automated Discovery of Business Process Simulation Models from Event Logs

Manuel Camargo, Marlon Dumas, Oscar González-Rojas

Business process simulation is a versatile technique to estimate the performance of a process under multiple scenarios. This, in turn, allows analysts to compare alternative option…

cs.SE2019

Interpreted Execution of Business Process Models on Blockchain

Orlenys López-Pintado, Marlon Dumas, Luciano García-Bañuelos +1

Blockchain technology provides a tamper-proof mechanism to execute inter-organizational business processes involving mutually untrusted parties. Existing approaches to blockchain-b…

cs.LG2019★ 3 cited

Fire Now, Fire Later: Alarm-Based Systems for Prescriptive Process Monitoring

Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa +4

Predictive process monitoring is a family of techniques to analyze events produced during the execution of a business process in order to predict the future state or the final outc…