An Incremental Process Mining Approach to Extract Knowledge from Legacy Systems

2010 ◽  
Author(s):  
Andre Cristiano Kalsing ◽  
Gleison Samuel do Nascimento ◽  
Cirano Iochpe ◽  
Lucineia Heloisa Thom
Keyword(s):  
Process Mining ◽  
Legacy Systems ◽  
Incremental Process

INCREMENTAL MINING OF PROCESSES WITH LOOPS

2011 ◽  
Vol 20 (01) ◽  
pp. 221-235 ◽  
Author(s):  
HUI MA ◽  
YONG TANG ◽  
LINGKUN WU
Keyword(s):  
Prior Knowledge ◽  
Large Volume ◽  
Process Mining ◽  
The Other ◽  
Workflow Model ◽  
Mining Method ◽  
Incremental Mining ◽  
Challenging Problem ◽  
Log Data ◽  
Incremental Process

Currently most researches in process mining focus on discovering a workflow model from an entire log. In fact, the process designers may have a partially built model and their prior knowledge is also valuable information to process mining. Besides, the large volume of log data makes the process mining a time-consuming job. It is better that the process mining be done in an incremental way. There are only a few methods that can incrementally mine a model, but they have their limitations such as incapability in handling loops or being intolerant to noise. On the other hand, loop mining is a challenging problem in process mining because the repeatedly executed tasks add complexity to the search for task precedence. This paper studies the problem of handling loops in process mining and proposes an improved incremental process mining method which supports loops. Experiments in the end show the feasibility and validity of the proposed method.

Process mining through dynamic analysis for modernising legacy systems

IET Software ◽  
2011 ◽  
Vol 5 (3) ◽  
pp. 304 ◽  
Author(s):  
R. Pérez-Castillo ◽  
B. Weber ◽  
I.G.-R. de Guzmán ◽  
M. Piattini
Keyword(s):  
Dynamic Analysis ◽  
Process Mining ◽  
Legacy Systems

Process Mining - A Comprehensive Review

2018 ◽  
Vol 6 (7) ◽  
pp. 1108-1113
Author(s):  
S. Vijayarani ◽  
A. Sakila ◽  
R. Ramya
Keyword(s):  
Process Mining ◽  
Comprehensive Review

Process Mining im Prototypenbau

2019 ◽  
Vol 114 (11) ◽  
pp. 707-710
Author(s):  
Günther Schuh ◽  
Jan-Philipp Prote ◽  
Andreas Gützlaff ◽  
Sven Cremer ◽  
Seth Schmitz
Keyword(s):  
Process Mining
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