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Agenda


    1    Process Mining

    2    Process diagnostics

    3    The proposal

    4    Proposal application




2
Introduction



                            Event logs
               Enterprise




3
Introduction. Process Mining

Event logs
                                                                        Start




                                                                    Register order




                                                                                                        Prepare
                                                                                                       shipment




                                                   (Re)send bill




                                                                                                      Ship goods




                                         Contact
                                                                   Receive payment
                                        customer




                                                                                     Archiv e order




                                                                                          End




    Mining techniques

4     Ana Karla Alves de Medeiros and Van der Aalst
Process Mining. Discovery

Event logs                                                Process Model
                                                                                Start




                                                                            Register order




                                                                                                                Prepare
                                                                                                               shipment




                                                           (Re)send bill




                                                                                                              Ship goods




                                                Contact
                                                                           Receive payment
                                               customer




                                                                                             Archiv e order




                    Mining Techniques                                                             End




Most business processes in real life are not strictly ruled by the
information systems on the background

5
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
Process diagnostics




                                      Event logs




                   Holistic view of the process
7     R. P. J. Chandra Bose, W. M. P. van der Aalst
Process diagnostics. Techniques.



      Dotted chart analysis        Shortcomings

        Trace alignment

          Conformance checking

          Fuzzy miner

        Tandem arrays

      Fuzzy Clustering
8       Yzquierdo R. (2012).
Approach




9   Yzquierdo R. (2012).
1. Trace alignment


                                                     Matrix A

Event Log




10   R. P. J. Chandra Bose, W. M. P. van der Aalst
2. Pre-processing aligned traces




       Incomplete cases
       Noise
       To assure each column is occupied by a single task


 11
3. Determining the tree of building blocks




   12
3. Determining the tree of building blocks




   13
3. Determining the tree of building blocks




                                         Sequence




   14
3. Determining the tree of building blocks




                                        Sequence




        XOR                                  Parallelism




  15
Tree of building blocks




                          Sequence

16
Tree of building blocks




                          XOR

17
Tree of building blocks




                          Parallelism

18
Tree of building blocks




                          Loop

19
Tree of building blocks




                Hidden sequence

20
Applying the proposal

National Identification Unique System (SUIN)
Module: Management of Roles
Cases: 31
Events: 804
Event classes: 52
Event types: 3




 21
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
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
Applying the proposal


                                             How the process end




Diagnosis:
• Problems: Edit Rol and Delete Rol events
• Misuse of the system by an administrator
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
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
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
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Sub-process discovery: opportunities for process diagnostics

  • 1.
  • 2. Agenda 1 Process Mining 2 Process diagnostics 3 The proposal 4 Proposal application 2
  • 3. Introduction Event logs Enterprise 3
  • 4. Introduction. Process Mining Event logs Start Register order Prepare shipment (Re)send bill Ship goods Contact Receive payment customer Archiv e order End Mining techniques 4 Ana Karla Alves de Medeiros and Van der Aalst
  • 5. Process Mining. Discovery Event logs Process Model Start Register order Prepare shipment (Re)send bill Ship goods Contact Receive payment customer Archiv e order 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).
  • 9. Approach 9 Yzquierdo R. (2012).
  • 10. 1. Trace alignment Matrix A Event Log 10 R. P. J. Chandra Bose, W. M. P. van der Aalst
  • 11. 2. Pre-processing aligned traces  Incomplete cases  Noise  To assure each column is occupied by a single task 11
  • 12. 3. Determining the tree of building blocks 12
  • 13. 3. Determining the tree of building blocks 13
  • 14. 3. Determining the tree of building blocks Sequence 14
  • 15. 3. Determining the tree of building blocks Sequence XOR Parallelism 15
  • 16. Tree of building blocks Sequence 16
  • 17. Tree of building blocks XOR 17
  • 18. Tree of building blocks Parallelism 18
  • 19. Tree of building blocks Loop 19
  • 20. Tree of building blocks Hidden sequence 20
  • 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