Process Mining (PM) is an innovative area within Data Science and Process Science disciplines that has been developed in the last two decades to provide techniques, algorithms and tools to discover information from process execution data, as data mining does.
Process mining provides three main approaches: i) discovering BP models from event logs i.e. generating process models based on execution process data; ii) process conformance i.e. checking the real execution in event logs against BP models; and iii) enhancing BP models with extra information such as performance, roles and resources involved in the process execution, allowing both post mortem and predictive analysis.
The objective of the Latin American School on Process Mining (LASPM) is to promote the dissemination of the knowledge, advances and challenges in the process mining field, as well as examples in different application domains and successful cases, within graduate and advanced undergraduate students of Computer Science, graduate students of Data Science programs, as well as professors, researchers and professionals of these areas working in the software industry and public organizations from Uruguay and Latin American countries.
The Latin American School on Process Mining (LASPM) includes a graduate and professional training course on process mining, providing both foundations and applications in several domains such as: e-health, e-government and education. It is also offered as a workshop module for advanced students of the Computer Science career from FING, UdelaR. The course includes master classes by the keynote speakers and national teachers, as well as hand-ons laboratory with process mining tools such as
Disco, Celonis, ProM.
With this event we continue to promote the meeting place created in Uruguay with the Uruguayan workshop BPMuy (2012-2018), where academia, the state and the industry can converge, promoting the adoption of process mining, as the main way of evidence-based analysis and improvement of processes in organizations.
