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Massimiliano de Leoni

Massimiliano de Leoni

D-Index & Metrics

Computer Science

D-Index
35
Citations
6176
World Ranking
11586
National Ranking
383

Overview

Massimiliano de Leoni is affiliated with the University of Padua in Italy. Their research primarily spans the fields of Business, Management and Accounting, Computer Science, and Decision Sciences. Within these broad disciplines, they focus notably on Management Information Systems, Information Systems, and Management Science and Operations Research. Additionally, their work touches on Artificial Intelligence and Industrial and Manufacturing Engineering as subfields.

The scholar's research explores various topics related to business processes and information systems. Key areas of specialization include:

  • Business Process Modeling and Analysis
  • Service-Oriented Architecture and Web Services
  • Data Quality and Management
  • Big Data and Business Intelligence
  • Petri Nets in System Modeling
  • Simulation Techniques and Applications
  • Semantic Web and Ontologies

Massimiliano de Leoni has contributed to several peer-reviewed papers. Notable recent publications include:

  • "Event abstraction in process mining: literature review and taxonomy" (2020), published in Granular Computing
  • "Fire now, fire later: alarm-based systems for prescriptive process monitoring" (2021), published in Knowledge and Information Systems
  • "An explainable decision support system for predictive process analytics" (2023), published in Engineering Applications of Artificial Intelligence
  • "Object-centric process predictive analytics" (2022), published in Expert Systems with Applications
  • "Integrating BPMN and DMN: Modeling and Analysis" (2021), published in Journal on Data Semantics

Their publications frequently appear in venues such as arXiv (Cornell University), Information Systems, Granular Computing, Knowledge and Information Systems, and Engineering Applications of Artificial Intelligence.

Massimiliano de Leoni collaborates extensively with several researchers, including Francesco Vinci, Alessandro Padella, Riccardo Galanti, Nicolò Navarin, and Felix Mannhardt. The collaboration counts vary, with multiple co-authorships reflecting ongoing research partnerships.

Best Publications

  • Process Mining Manifesto

    Wil van der Aalst;Wil van der Aalst;Arya Adriansyah;Ana Karla Alves de Medeiros;Franco Arcieri

  • A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs

    Massimiliano de Leoni;Wil M.P. van der Aalst;Marcus Dees

  • Balanced multi-perspective checking of process conformance

    Felix Mannhardt;Massimiliano Leoni;Hajo A. Reijers;Wil M. Aalst

  • Data-aware process mining: discovering decisions in processes using alignments

    Massimiliano de Leoni;Wil M. P. van der Aalst

  • A recommendation system for predicting risks across multiple business process instances

    Raffaele Conforti;Massimiliano de Leoni;Massimiliano de Leoni;Marcello La Rosa;Marcello La Rosa;Wil M.P. van der Aalst;Wil M.P. van der Aalst

  • Declarative process mining in healthcare

    Marcella Rovani;Fabrizio M. Maggi;Massimiliano de Leoni;Wil M.P. van der Aalst

  • Time and activity sequence prediction of business process instances

    Mirko Polato;Alessandro Sperduti;Andrea Burattin;Massimiliano de Leoni

  • Event abstraction in process mining: literature review and taxonomy

    Sebastiaan J. van Zelst;Sebastiaan J. van Zelst;Felix Mannhardt;Felix Mannhardt;Massimiliano de Leoni;Agnes Koschmider

  • Aligning event logs and process models for multi-perspective conformance checking: an approach based on integer linear programming

    Massimiliano de Leoni;Wil M. P. van der Aalst

  • Pervasive Software Environments for Supporting Disaster Responses

    T. Catarci;M. de Leoni;A. Marrella;M. Mecella

  • Aligning event logs and declarative process models for conformance checking

    Massimiliano de Leoni;Fabrizio Maria Maggi;Wil M. P. van der Aalst

  • An alignment-based framework to check the conformance of declarative process models and to preprocess event-log data

    Massimiliano de Leoni;Fabrizio M. Maggi;Wil M.P. van der Aalst

  • Data-aware remaining time prediction of business process instances

    M Polato;A Sperduti;A Burattin;de M Massimiliano Leoni

  • Data-Driven Process Discovery - Revealing Conditional Infrequent Behavior from Event Logs

    F Felix Mannhardt;M Massimiliano de Leoni;HA Hajo Reijers;HA Hajo Reijers;Wmp Wil van der Aalst

  • Supporting risk-informed decisions during business process execution

    Raffaele Conforti;Massimiliano de Leoni;Marcello La Rosa;Wil M. P. van der Aalst

  • From Low-Level Events to Activities - A Pattern-Based Approach.

    Felix Mannhardt;Massimiliano de Leoni;Hajo A. Reijers;Wil M. P. van der Aalst

  • From low-level events to activities : a pattern-based approach

    F Felix Mannhardt;M Massimiliano de Leoni;HA Hajo Reijers;HA Hajo Reijers;Wmp Wil van der Aalst

  • Data- and resource-aware conformance checking of business processes

    M Massimiliano de Leoni;Wmp Wil van der Aalst;BF Boudewijn van Dongen

  • Aligning Real Process Executions and Prescriptive Process Models through Automated Planning

    Unknown

  • A general framework for correlating business process characteristics

    M Massimiliano de Leoni;M Massimiliano de Leoni;Wmp Wil van der Aalst;M Marcus Dees

  • The multi-perspective process explorer

    F Felix Mannhardt;M Massimiliano de Leoni;HA Hajo Reijers

  • Decision Mining Revisited - Discovering Overlapping Rules

    F Felix Mannhardt;M Massimiliano de Leoni;HA Hajo Reijers;HA Hajo Reijers;Wmp Wil van der Aalst

Frequent Co-Authors

Wil M. P. van der Aalst
Wil M. P. van der Aalst RWTH Aachen University
Massimo Mecella
Massimo Mecella Sapienza University of Rome
Arthur H. M. ter Hofstede
Arthur H. M. ter Hofstede Queensland University of Technology
Fabrizio Maria Maggi
Fabrizio Maria Maggi Free University of Bozen-Bolzano
Tiziana Catarci
Tiziana Catarci Sapienza University of Rome
Marco Montali
Marco Montali Free University of Bozen-Bolzano
Marlon Dumas
Marlon Dumas University of Tartu
Marcello La Rosa
Marcello La Rosa University of Melbourne
Boudewijn F. van Dongen
Boudewijn F. van Dongen Eindhoven University of Technology
Michael Adams
Michael Adams University of Birmingham

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