Process Mining Manifesto

نویسندگان

  • Wil M. P. van der Aalst
  • Arya Adriansyah
  • Ana Karla A. de Medeiros
  • Franco Arcieri
  • Thomas Baier
  • Tobias Blickle
  • R. P. Jagadeesh Chandra Bose
  • Peter van den Brand
  • Ronald Brandtjen
  • Joos C. A. M. Buijs
  • Andrea Burattin
  • Josep Carmona
  • Malú 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
  • Christian W. Günther
  • Antonella Guzzo
  • Paul Harmon
  • Arthur H. M. ter Hofstede
  • John Hoogland
  • Jon Espen Ingvaldsen
  • Koki Kato
  • Rudolf Kuhn
  • Akhil Kumar
  • Marcello La Rosa
  • Fabrizio Maria Maggi
  • Donato Malerba
  • R. S. Mans
  • Alberto Manuel
  • Martin McCreesh
  • Paola Mello
  • Jan Mendling
  • Marco Montali
  • Hamid R. Motahari Nezhad
  • Michael zur Muehlen
  • Jorge Munoz-Gama
  • Luigi Pontieri
  • Joel Ribeiro
  • Anne Rozinat
  • Hugo Seguel Pérez
  • Ricardo Seguel
  • Marcos Sepúlveda
  • Jim Sinur
  • Pnina Soffer
  • Minseok Song
  • Alessandro Sperduti
  • Giovanni Stilo
  • Casper Stoel
  • Keith D. Swenson
  • Maurizio Talamo
  • Wei Tan
  • Chris Turner
  • Jan Vanthienen
  • George Varvaressos
  • Eric Verbeek
  • Marc Verdonk
  • Roberto Vigo
  • Jianmin Wang
  • Barbara Weber
  • Matthias Weidlich
  • A. J. M. M. Weijters
  • Lijie Wen
  • Michael Westergaard
  • Moe Thandar Wynn
چکیده

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. Process Mining Manifesto 171 1 IEEE Task Force on Process Mining A manifesto is a “public declaration of principles and intentions” by a group of people. This manifesto is written by members and supporters of the IEEE Task Force on Process Mining. The goal of this task force is to promote the research, development, education, implementation, evolution, and understanding of process mining. register request examine casually examine thoroughly check ticket decide pay compensation

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تاریخ انتشار 2011