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20152026
most citedAutomated Discovery of Data Transformations for Robotic Process Automation

13 citations · 25 across the 10 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

cs.AI2018

Semantic DMN: Formalizing and Reasoning About Decisions in the Presence of Background Knowledge

Diego Calvanese, Marlon Dumas, Fabrizio Maria Maggi +1

The Decision Model and Notation (DMN) is a recent OMG standard for the elicitation and representation of decision models, and for managing their interconnection with business proce…

cs.SE2018

A User Evaluation of Automated Process Discovery Algorithms

Fabrizio Maria Maggi, Andrea Marrella, Fredrik Milani +2

Process mining methods allow analysts to use logs of historical executions of business processes in order to gain knowledge about the actual behavior of these processes. One of the…

cs.AI2018

Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring

Ilya Verenich, Marlon Dumas, Marcello La Rosa +2

Predictive business process monitoring methods exploit historical process execution logs to generate predictions about running instances (called cases) of a business process, such…

cs.PF2018

A Comparative Evaluation of Log-Based Process Performance Analysis Techniques

Fredrik Milani, Fabrizio M. Maggi

Process mining has gained traction over the past decade and an impressive body of research has resulted in the introduction of a variety of process mining approaches measuring proc…

cs.LG2018

Discovering Process Maps from Event Streams

Volodymyr Leno, Abel Armas-Cervantes, Marlon Dumas +2

Automated process discovery is a class of process mining methods that allow analysts to extract business process models from event logs. Traditional process discovery methods extra…

cs.LG2018

Alarm-Based Prescriptive Process Monitoring

Irene Teinemaa, Niek Tax, Massimiliano de Leoni +2

Predictive process monitoring is concerned with the analysis of events produced during the execution of a process in order to predict the future state of ongoing cases thereof. Exi…