scispace - formally typeset
F

Fabrizio Maria Maggi

Researcher at Free University of Bozen-Bolzano

Publications -  219
Citations -  7458

Fabrizio Maria Maggi is an academic researcher from Free University of Bozen-Bolzano. The author has contributed to research in topics: Process mining & Business process. The author has an hindex of 41, co-authored 191 publications receiving 5727 citations. Previous affiliations of Fabrizio Maria Maggi include Eindhoven University of Technology & University of Tartu.

Papers
More filters
Book ChapterDOI

Process Mining Manifesto

Wil M. P. van der Aalst, +78 more
TL;DR: This manifesto hopes to serve as a guide for software developers, scientists, consultants, business managers, and end-users to increase the maturity of process mining as a new tool to improve the design, control, and support of operational business processes.
Journal ArticleDOI

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

TL;DR: The results highlight gaps and unexplored tradeoffs in the field, including the lack of scalability of some methods and a strong divergence in their performance with respect to the different quality metrics used.
Book ChapterDOI

Monitoring business constraints with linear temporal logic: an approach based on colored automata

TL;DR: In this paper, the authors present a runtime verification framework based on linear temporal logic and colored automata, which continuously verifies compliance with respect to a predefined constraint model and provides meaningful diagnostics even after a constraint is violated.
Book ChapterDOI

Predictive Monitoring of Business Processes

TL;DR: This paper presents an approach to analyze such event logs in order to predictively monitor business constraints during business process execution, and provides early advice so that users can steer ongoing process executions towards the achievement of business constraints.
Posted Content

Predictive Monitoring of Business Processes

TL;DR: In this article, the authors present an approach to analyze event logs in order to predictively monitor business goals during business process execution and provide early advice so that users can steer ongoing process executions towards the achievement of business goals.