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pl:dydaktyka:dss:lab02 [2020/10/18 19:14]
kkluza [Excercise]
pl:dydaktyka:dss:lab02 [2020/10/18 19:42]
kkluza [Excercise]
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 The codes in this lab instruction are based on the codes from the book \\ The codes in this lab instruction are based on the codes from the book \\
-[[https://​www.springer.com/​gp/​book/​9783319564272|A Primer on Process Mining. Practical Skills with Python and Graphviz]]. \\The codes are not optimized and they are supposed to show a step by step process mining solution.+[[https://​www.springer.com/​gp/​book/​9783319564272|A Primer on Process Mining. Practical Skills with Python and Graphviz]]. \\ The codes are not optimized and they are supposed to show a step by step process mining solution.
 ===== Implementing a simple heuristic miner ===== ===== Implementing a simple heuristic miner =====
  
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 <code python> <code python>
 text = event + ' (' + str(ev_counter[event]) + "​)"​ text = event + ' (' + str(ev_counter[event]) + "​)"​
-G.add_node(event,​ label=text, style="​rounded,​filled",​ fillcolor="#​ffffcc"​)+G.add_node(event,​ label=text, style="​rounded,​filled",​ fillcolor="#​ffffcc"​) ​# code for Pygraphviz
 </​code>​ </​code>​
  
-We can also change the transparency of the discovered tasks based on their frequencies:​+We can also change the transparency of the discovered tasks based on their frequencies ​(code for Pygraphviz, so for graphviz, it should be adjusted):
  
 <code python> <code python>
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   - Add some filtering option to show or hide tasks or flows according to the chosen threshold. ​   - Add some filtering option to show or hide tasks or flows according to the chosen threshold. ​
   - Optimize code by avoiding creating additional lists, e.g. using ''​itertools'',​ ''​more_itertools''​ or other Python tools. ​   - Optimize code by avoiding creating additional lists, e.g. using ''​itertools'',​ ''​more_itertools''​ or other Python tools. ​
-  ​8-o Only for interested students: Try to implement and discover relations according to the Alpha algorithm. ​+  ​8-o Only for interested students: Try to implement and discover relations according to the Alpha algorithm. ​
  
-<fc #​ff0000>​There is no report required after this lab.</​fc>​ However, it is possible to submit an additional report for 5 points (a very good score) presenting the implementation of points 1-3.+<fc #​ff0000>​There is no report required after this lab.</​fc>​ However, it is possible to submit an additional report for 5 points (for a very good score) presenting the implementation of at least two of the above exercises.
pl/dydaktyka/dss/lab02.txt · ostatnio zmienione: 2020/10/18 19:42 przez kkluza
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