M
Massimiliano de Leoni
Researcher at University of Padua
Publications - 101
Citations - 4117
Massimiliano de Leoni is an academic researcher from University of Padua. The author has contributed to research in topics: Process mining & Business process discovery. The author has an hindex of 29, co-authored 94 publications receiving 3324 citations. Previous affiliations of Massimiliano de Leoni include Sapienza University of Rome & Eindhoven University of Technology.
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Book ChapterDOI
Process Mining Manifesto
Wil M. P. van der Aalst,Wil M. P. van der Aalst,A Arya Adriansyah,Ana Karla Alves de Medeiros,Franco Arcieri,Thomas Baier,Tobias Blickle,Jagadeesh Chandra Bose,Peter van den Brand,Ronald Brandtjen,Joos C. A. M. Buijs,Andrea Burattin,Josep Carmona,Malu Castellanos,Jan Claes,Jonathan Cook,Nicola Costantini,Francisco Curbera,Ernesto Damiani,Massimiliano de Leoni,Pavlos Delias,Boudewijn F. van Dongen,Marlon Dumas,Schahram Dustdar,Dirk Fahland,Diogo R. Ferreira,Walid Gaaloul,Frank van Geffen,Sukriti Goel,CW Christian Günther,Antonella Guzzo,Paul Harmon,Arthur H. M. ter Hofstede,Arthur H. M. ter Hofstede,John Hoogland,Jon Espen Ingvaldsen,Koki Kato,Rudolf Kuhn,Akhil Kumar,Marcello La Rosa,Fabrizio Maria Maggi,Donato Malerba,RS Ronny Mans,Alberto Manuel,Martin McCreesh,Paola Mello,Jan Mendling,Marco Montali,Hamid Reza Motahari-Nezhad,Michael zur Muehlen,Jorge Munoz-Gama,Luigi Pontieri,Joel Ribeiro,A Anne Rozinat,Hugo Seguel Pérez,Ricardo Seguel Pérez,Marcos Sepúlveda,Jim Sinur,Pnina Soffer,Minseok Song,Alessandro Sperduti,Giovanni Stilo,Casper Stoel,Keith D. Swenson,Maurizio Talamo,Wei Tan,Christopher Turner,Jan Vanthienen,George Varvaressos,Eric Verbeek,Marc Verdonk,Roberto Vigo,Jianmin Wang,Barbara Weber,Matthias Weidlich,Ton Weijters,Lijie Wen,Michael Westergaard,Moe Thandar Wynn +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
A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs
TL;DR: The proposed framework unifies a number of approaches for correlation analysis proposed in literature, proposing a general solution that can perform those analyses and many more and has been implemented in ProM and combines process and data mining techniques.
Proceedings ArticleDOI
Data-aware process mining: discovering decisions in processes using alignments
TL;DR: Recent advances in conformance checking can be used to align an event log with data and a process model with decision points, and this way data flow and guards can be discovered and added to the process model.
Journal ArticleDOI
Balanced multi-perspective checking of process conformance
TL;DR: A novel algorithm is proposed that balances the deviations with respect to all these perspectives based on a customizable cost function and may help to circumvent misleading results as generated by classical single-perspective or staged approaches.
Journal ArticleDOI
Declarative process mining in healthcare
TL;DR: In this article, a case study that shows how process mining techniques can be used to mediate between event data reflecting the clinical reality and clinical guidelines describing best-practices in medicine is presented.