Process mining manifesto
van der Aalst, Wil M.P., Andriansyah, Arya , Alves de Medeiros, Ana Karla , Arcieri, Franco , Baier, Thomas , Blickle, Tobias , Bose, Jagadeesh Chandra , van den Brand, Peter , Brandtjen, Ronald , Buijs, Joos , Burattin, Andrea , Carmona, Josep , Castellanos, Malu , Claes, Jan , Cook, Jonathan , Costantini, Nicola , Curbera, Francisco , Damiani, Ernesto , de Leoni, Massimiliano , Delias, Pavlos , van Dongen, Boudewijn , Dumas, Marlon , Dustdar, Schahram , Fahland, Dirk , Ferreira, Diogo R. , Gaaloul, Walid , van Geffen, Frank , Goel, Sukriti , Gunther, Christian , Guzzo, Antonella , Harmon, Paul , ter Hofstede, Arthur H.M., Hoogland, John , Espen Ingvaldsen, Jon , Kato, Koki , Kuhn, Rudolf , Kumar, Akhil , La Rosa, Marcello, Maggi, Fabrizio , Malerba, Donato , Mans, Ronny , Manuel, Alberto , McCreesh, Martin , Mello, Paola , Mendling, Jan , Montali, Marco , Motahari Nezhad, Hamid , zur Muehlen, Michael , Munoz-Gama, Jorge , Pointieri, Luigi , Ribeiro, Joel , Rozinat, Anne , Seguel Perez, Hugo , Seguel Perez, Ricardo , Sepulveda, Marcos , Sinur, Jim , Soffer, Pnina , Song, Minseok , Sperduti, Alessandro , Stilo, Giovanni , Stoel, Casper , Swenson, Keith , Talamo, Maurizio , Tan, Wei , Turner, Chris , Vanthienen, Jan , Varvaressos, George , Verbeek, Eric , Verdonk, Marc , Vigo, Roberto , Wang, Jianmin , Weber, Barbara , Weidlich, Matthias , Weijters, Ton , Wen, Lijie , Westergaard, Michael , & Wynn, Moe T. (2012) Process mining manifesto. In BPM 2011 Workshops Proceedings, Springer-Verlag, Campus des Cézeaux, Clermont-Ferrand, pp. 169-194.
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.
Impact and interest:
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|Item Type:||Conference Paper|
|Keywords:||process mining, log, ProM, manifesto|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
Past > Schools > Information Systems
|Copyright Owner:||(C) 2012 The Author(s)|
|Copyright Statement:||The manifesto was originally published in F. Daniel, K. Barkaoui, S. Dustdar (Eds.): BPM 2011 Workshops, Part I, LNBIP 99, Springer-Verlag, pp. 169–194, 2012. (ISBN 978-3-642-28107-5) (C) 2012 The Author(s). This document is published and distributed under the terms of the Creative Commons Attribution Non-commercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author and source is credited.|
|Deposited On:||07 Dec 2011 08:22|
|Last Modified:||24 Jul 2012 16:31|
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