4. Introduction. Process Mining
Event logs
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customer
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Mining techniques
4 Ana Karla Alves de Medeiros and Van der Aalst
5. Process Mining. Discovery
Event logs Process Model
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customer
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Mining Techniques End
Most business processes in real life are not strictly ruled by the
information systems on the background
5
6. Diagnostic questions
What is the most common (likely) process behavior that
is executed?
Where do process instances deviate and what do they
have in common?
Are there any common patterns of execution in the
traces?
What are the contexts in which an activity or a set of
activities is executed in the event log?
What are the process instances that share/capture a
desired behavior either exactly or approximately?
Are there particular patterns in the process?
6 R. P. J. Chandra Bose, W. M. P. van der Aalst
7. Process diagnostics
Event logs
Holistic view of the process
7 R. P. J. Chandra Bose, W. M. P. van der Aalst
8. Process diagnostics. Techniques.
Dotted chart analysis Shortcomings
Trace alignment
Conformance checking
Fuzzy miner
Tandem arrays
Fuzzy Clustering
8 Yzquierdo R. (2012).
21. Applying the proposal
National Identification Unique System (SUIN)
Module: Management of Roles
Cases: 31
Events: 804
Event classes: 52
Event types: 3
21
22. Applying the proposal
National Identification Unique System (SUIN)
Module: Managing Roles Are there significant
Cases: 31 failures in this
Events: 804 process?
Event classes: 52 What are the
causes?
Event types: 3
22
23. Applying the proposal
National Identification Unique System (SUIN)
Module: Managing Roles Are there significant
Cases: 31 failures in this
Events: 804 process?
Event classes: 52 What are the
causes?
Event types: 3
23
24. Applying the proposal
How the process end
Diagnosis:
• Problems: Edit Rol and Delete Rol events
• Misuse of the system by an administrator
25. Discussion
The technique developed allows detecting
interesting patterns and provides a holistic view
of the process
The proposal also allows detection of sub-
processes that compose the analyzed process
The detected sub-processes enclose anomalies
and interesting patterns
It combines the cases and activities occurrence
frequency analysis with the staged analysis from
correctly structured sequence events on sub-
processes
25
26. Discussion
An important contribution is that the anomalies
detected can be framed in a context.
The developed tool was also applied to analyze
the process “Check Management” in the bar
Gulf View and the restaurant Aguiar, both places
belonging to the National Hotel (Cuba). Main
characteristics of the process for both event
logs, which supported the auditing of the
process, were identified
26
27. Conclusion
Process diagnostics can be useful for detecting
patterns and anomalies in the analyzed process
This proposal allows to segment the aligned
traces and to form representative groups of sub-
processes that compose the analyzed process
The obtained tree of building blocks reflects the
hierarchical organization that is established
between the sub-processes, considering main
execution patterns
The technique developed is a complement of
the techniques developed in Process
diagnostics
27