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
- Vol. 99, Iss: 2, pp 169-194
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TLDR
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.Abstract:
Process mining techniques are able to extract knowledge from event logs commonly available in today’s information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains. There are two main drivers for the growing interest in process mining. On the one hand, more and more events are being recorded, thus, providing detailed information about the history of processes. On the other hand, there is a need to improve and support business processes in competitive and rapidly changing environments. This manifesto is created by the IEEE Task Force on Process Mining and aims to promote the topic of process mining. Moreover, by defining a set of guiding principles and listing important challenges, this manifesto hopes to serve as a guide for software developers, scientists, consultants, business managers, and end-users. The goal is to increase the maturity of process mining as a new tool to improve the (re)design, control, and support of operational business processes.read more
Citations
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Journal ArticleDOI
Business Process Management: A Comprehensive Survey
Wmp Wil van der Aalst,van der +1 more
TL;DR: The practical relevance of BPM and rapid developments over the last decade justify a comprehensive survey and an overview of the state-of-the-art in BPM.
Journal ArticleDOI
Process mining
TL;DR: Using real event data to X-ray business processes helps ensure conformance between design and reality.
Book ChapterDOI
Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour
TL;DR: In this paper, the authors present a technique able to cope with infrequent behaviour and large event logs, while ensuring soundness, which has been implemented in ProM and compared with existing approaches in terms of quality and performance.
BookDOI
Enabling Flexibility in Process-Aware Information Systems
Manfred Reichert,Barbara Weber +1 more
TL;DR: This chapter deals with the flexibility needs of both pre-specified and loosely-specified processes and elicitates requirements for flexible process support in a PAIS.
Journal ArticleDOI
Process Mining: Overview and Opportunities
TL;DR: This article introduces process mining as a new research field and summarizes the guiding principles and challenges described in the manifesto.
References
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Book
Process Mining: Discovery, Conformance and Enhancement of Business Processes
TL;DR: This book provides real-world techniques for monitoring and analyzing processes in real time and is a powerful new tool destined to play a key role in business process management.