Adriano Augusto
20 papers 478 citations h-index 4 2016–2024
The Connection between Process Complexity of Event Sequences and Models discovered by Process Mining
Process mining is a research area focusing on the design of algorithms that can automatically provide insights into business processes. Among the most popular algorithms are those for automated...
Automated Discovery of Process Models with True Concurrency and Inclusive Choices
Enterprise information systems allow companies to maintain detailed records of their business process executions. These records can be extracted in the form of event logs, which capture the...
Detection of statistically significant differences between process variants through declarative rules
Services and products are often offered via the execution of processes that vary according to the context, requirements, or customisation needs. The analysis of such process variants can highlight...
Automated Discovery of Process Models from Event Logs: Review and Benchmark
Process mining allows analysts to exploit logs of historical executions of business processes to extract insights regarding the actual performance of these processes. One of the most widely...
Efficient Checking of Temporal Compliance Rules Over Business Process Event Logs
Verifying temporal compliance rules, such as a rule stating that an inquiry must be answered within a time limit, is a recurrent operation in the realm of business process compliance. In this...
Discovering executable routine specifications from user interaction logs
Robotic Process Automation (RPA) is a technology to automate routine work such as copying data across applications or filling in document templates using data from multiple applications. RPA tools...
Process Mining-Driven Analysis of the COVID19 Impact on the Vaccinations of Victorian Patients
Process mining is a discipline sitting between data mining and process science, whose goal is to provide theoretical methods and software tools to analyse process execution data, known as event...