Mr Adriano Augusto

Adriano Augusto is associate lecturer at the school of Computing and Information Systems (CIS) of the University of Melbourne. He completed a joint PhD at the University of Tartu (Estonia) and the University of Melbourne, presenting a thesis in the field of automated process discovery.

His research interests include: process mining, automated process discovery, and business process management.

Find out more about Adriano Augusto's experience

Adriano Augusto's highlights

FEATURED Journal article

Split miner: automated discovery of accurate and simple business process models from event logs

Adriano Augusto's selected work

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

Journal article

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

Conference Proceedings

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

Report

Metaheuristic Optimization for Automated Business Process Discovery

Conference Proceedings

Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled a..

Report

Discovering automatable routines from user interaction logs

Report

Scholarly Works

Displaying the 11 most recent scholarly works by Adriano Augusto.

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

Adriano Augusto, Raffaele Conforti, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy

Journal article | 2019 | Knowledge and Information Systems

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

A Bosco, A Augusto, M Dumas, M La Rosa, G 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..

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..

Split miner: Discovering accurate and simple business process models from event logs

A Augusto, R Conforti, M Dumas, ML Rosa

Conference Proceedings | 2017 | Knowledge and Information Systems

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

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)

11

Scholarly Works

Keyword Analysis

Information Systems

Expanding Knowledge

Computer Software and Services

Artificial Intelligence and Image Processing

Credentials