Adriano Augusto

Automatic Repair of Same-Timestamp Errors in Business Process Event Logs

Raffaele Conforti, Marcello La Rosa, Arthur ter Hofstede, Adriano Augusto

Conference Proceedings  |  2020  |  Conference on Business Process Management - BPM 2020

This paper contributes an approach for automatically correcting “same timestamp” errors in business process event logs. These erro..

Optimized Discovery of Process Models From Event Logs: Framework and Evaluation

Adriano Augusto, Marlon Dumas, Marcello La Rosa, Sander Leemans, Seppe Vanden Broucke

Report  |  2020

considers several instantiations of the framework corresponding to four optimization metaheuristics, three automated process disco..

Metaheuristic Optimization for Automated Business Process Discovery

A Augusto, M Dumas, M La Rosa

Conference Proceedings  |  2019  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

The problem of automated discovery of process models from event logs has been intensely investigated in the past two decades, lead..

Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs

A Augusto, R Conforti, M Dumas, M La Rosa, A Polyvyanyy

Journal article  |  2019  |  Knowledge and Information Systems

The problem of automated discovery of process models from event logs has been intensively researched in the past two decades. Desp..

Automated Discovery of Process Models from Event Logs: Review and Benchmark

A Augusto, R Conforti, M Dumas, M La Rosa, FM Maggi, A Marrella, M Mecella, A Soo

Journal article  |  2019  |  IEEE Transactions on Knowledge and Data Engineering

Process mining allows analysts to exploit logs of historical executions of business processes to extract insights regarding the ac..

Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach

A Augusto, Abel Armas Cervantes, Raffaele Conforti, Marlon Dumas, Marcello LA ROSA, Daniel Reissner

Report  |  2019

Discovering Automatable Routines From User Interaction Logs

Antonio Bosco, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Giancarlo Fortino

Report  |  2019  |  Lecture Notes in Business Information Processing

The complexity and rigidity of legacy applications in modern organizations engender situations where workers need to perform repet..

Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs

A Augusto, R Conforti, M Dumas, M La Rosa

Conference Proceedings  |  2019  |  2017 IEEE International Conference on Data Mining (ICDM)

The problem of automated discovery of process models from event logs has been intensively researched in the past two decades. Desp..

Abstract and Compare: A Framework for Defining Precision Measures for Automated Process Discovery

A Augusto, A Armas Cervantes, R Conforti, M Dumas, M La Rosa, D Reissner

Conference Proceedings  |  2018  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Automated process discovery techniques allow us to extract business process models from event logs. The quality of process models ..

Automated Discovery of Structured Process Models From Event Logs: The Discover-and-Structure Approach

A Augusto, R Conforti, M Dumas, M La Rosa, G Bruno

Journal article  |  2018  |  Data & Knowledge Engineering

This article tackles the problem of discovering a process model from an event log recording the execution of tasks in a business p..

BPMN miner 2.0: Discovering hierarchical and block-structured BPMN process models

R Conforti, A Augusto, ML Rosa, M Dumas, L García-Bañuelos

Conference Proceedings  |  2016  |  CEUR Workshop Proceedings

Copyright © 2016 for this paper by its authors. We present BPMN Miner 2.0: a tool that extracts hierarchical and block-structured ..

Automated Discovery of Structured Process Models: Discover Structured vs. Discover and Structure

Adriano Augusto, Raffaele Conforti, Marlon Dumas, Marcello La Rosa, Giorgio Bruno

Conference Proceedings  |  2016  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)