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Process mining manifesto
File(s)
chp%3A10.1007%2F978-3-642-28108-2_19.pdf (433.32 KB)
Published version
Author(s)
Van Der Aalst, W
Adriansyah, A
De Medeiros, AKA
Arcieri, F
Baier, T
more
Type
Conference Paper
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. © 2012 Springer-Verlag.
Date Issued
2012-01-01
Date Acceptance
2012-01-01
Citation
Lecture Notes in Business Information Processing, 2012, 99 LNBIP (PART 1), pp.169-194
URI
http://hdl.handle.net/10044/1/33041
DOI
https://www.dx.doi.org/10.1007/978-3-642-28108-2_19
ISBN
9783642281075
ISSN
1865-1348
Publisher
Springer
Start Page
169
End Page
194
Journal / Book Title
Lecture Notes in Business Information Processing
Volume
99 LNBIP
Issue
PART 1
Copyright Statement
© The Author(s) 2012. This chapter is published with open access at SpringerLink.com
License URL
http://creativecommons.org/licenses/by/4.0/
Source
BPM 2011 International Workshops
Publication Status
Published
Start Date
2011-08-29
Coverage Spatial
Clermont-Ferrand, France
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