Exercise 11.30

der the workflow log that you created for Exercise 11.5 (page 427) from the cases shown in Figure 11.4. Replay these logs in the process model of Figure 1121 (page 456). Note down consumed. produced, missing and remaining tokens for each arc, and calculate the fitness measure. Assume that tasks not shown in the process model do not change the distribution of tokens in the replay. Exercise 11.30 Do the models you discovered in Exercises 11.26 and 11.27 perfectly fit the corresponding event log? If not, describe to what extent and how the event log differs with respect to the discovered model. Exercise 11.31 We consider again the health insurance process examined in Exer is on puga 460 available at http://tinyurl.com/InsuranceLogs) and specif calable in the book's companion website). FUL.COM I 472 11 Process Monitoring Note: This log is sufficiently simple that it is possible to manually derive the BPMN process model from a dependency graph. Exercise 11.27 Using a process mining tool, discover a BPMN process model from the following event log of a telephone repair process: http://tinyurl.com/repair Logs (also available in the book's companion website). Note: This log is more complex and difficult to manually understand using a dependency graph. Consider using a process mining tool that can discover BPMN process models (e.g., ProM or Apromore). Exercise 11.28 Consider there is an AND-split in a process model with two subsequent tasks a and b. What kind of pattern do these tasks show on the timeline chart? Exercise 11.29 Consider the workflow log that you created for Exercise 11.5 (page 427) from the cases shown in Figure 11.4. Replay these logs in the process model of Figure 11.21 (page 456). Note down consumed, produced, missing and remaining tokens for each are, and calculate the fitness measure. Assume that tasks not shown in the process model do not change the distribution of tokens in the replay. Exercise 11.30 Do the models you discovered in Exercises 11.26 and 11.27 perfectly fit the corresponding event log? If not, describe to what extent and how the event log differs with respect to the discovered model. Exercise 11.31 We consider again the health insurance process examined in Exer cise 11.19 on page 460) (available at http://tinyurl.com/Insurance Logs) and specif- M Exercise 11.30 Do the models you discovered in Exercises 11.26 and 11.27 perfectly fit the corresponding event log? If not. describe to what extent and how the event log differs with respect to the discovered model. der the workflow log that you created for Exercise 11.5 (page 427) from the cases shown in Figure 11.4. Replay these logs in the process model of Figure 1121 (page 456). Note down consumed. produced, missing and remaining tokens for each arc, and calculate the fitness measure. Assume that tasks not shown in the process model do not change the distribution of tokens in the replay. Exercise 11.30 Do the models you discovered in Exercises 11.26 and 11.27 perfectly fit the corresponding event log? If not, describe to what extent and how the event log differs with respect to the discovered model. Exercise 11.31 We consider again the health insurance process examined in Exer is on puga 460 available at http://tinyurl.com/InsuranceLogs) and specif calable in the book's companion website). FUL.COM I 472 11 Process Monitoring Note: This log is sufficiently simple that it is possible to manually derive the BPMN process model from a dependency graph. Exercise 11.27 Using a process mining tool, discover a BPMN process model from the following event log of a telephone repair process: http://tinyurl.com/repair Logs (also available in the book's companion website). Note: This log is more complex and difficult to manually understand using a dependency graph. Consider using a process mining tool that can discover BPMN process models (e.g., ProM or Apromore). Exercise 11.28 Consider there is an AND-split in a process model with two subsequent tasks a and b. What kind of pattern do these tasks show on the timeline chart? Exercise 11.29 Consider the workflow log that you created for Exercise 11.5 (page 427) from the cases shown in Figure 11.4. Replay these logs in the process model of Figure 11.21 (page 456). Note down consumed, produced, missing and remaining tokens for each are, and calculate the fitness measure. Assume that tasks not shown in the process model do not change the distribution of tokens in the replay. Exercise 11.30 Do the models you discovered in Exercises 11.26 and 11.27 perfectly fit the corresponding event log? If not, describe to what extent and how the event log differs with respect to the discovered model. Exercise 11.31 We consider again the health insurance process examined in Exer cise 11.19 on page 460) (available at http://tinyurl.com/Insurance Logs) and specif- M Exercise 11.30 Do the models you discovered in Exercises 11.26 and 11.27 perfectly fit the corresponding event log? If not. describe to what extent and how the event log differs with respect to the discovered model