Guest lecture on 17.01.18: Predictive Monitoring of Business Processes
Kate Revoredo is an Associated Professor of the Department of Applied Informatics at the Federal University of the State of Rio de Janeiro (UNIRIO), Brazil. She will give a lecture on the topic of „Predictive Monitoring of Business Processes“ on Wednesday 17.01.18, in room 0.224 at 11:30 – 13:00 o’clock.
Abstract
Organizations need to efficiently monitor their business processes in order to achieve their goals, for instance to deliver products and services in time. Therefore, they monitor the progress of individual cases towards detecting undesired deviations in time to mitigate them. Since, modern Information systems can support organizations business processes and store process execution data, this data can then be used to provide insights useful on future process executions. One way of using this historical data, it is to learn a model able to predict the outcome of an ongoing case. For instance, to predict the completion time of the running case, evaluating if the deadline will be meet. The area of predictive monitoring of business processes deals with this issue. In this lecture, I will provide an overview of this area and discuss some state of the art techniques.
ShortBio
Kate Revoredo is an Associated Professor of the Department of Applied Informatics at the Federal University of the State of Rio de Janeiro (UNIRIO), Brazil. She obtained a D.Sc. and a M.Sc. in Computer Science with emphasis in Artificial Intelligence from the Federal University of Rio de Janeiro (COPPE-UFRJ). During her D.Sc. studies in the context of automatic adaptation of probabilistic relational models, she was a visiting researcher at Machine Learning and Natural Language Processing Lab at Albert-Ludwigs-University Freiburg, Germany. Her research focus is mainly on machine learning and data mining, more specifically on process monitoring through data towards learning algorithms for adapting processes and allowing process prediction. Moreover, she is also working on learning and adapting ontologies and their alignments through data. She has published in important journals and conference papers, participates in several program committees of journals and conferences, and is a member of the Brazilian Computer Society and the Brazilian Special Commission in Artificial Intelligence.