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.idea
.idea
 
 
__pycache__
__pycache__
 
 
dirty_scripts
dirty_scripts
 
 
images
images
 
 
transformers
transformers
 
 
DatasetManager.py
DatasetManager.py
 
 
EncoderFactory.py
EncoderFactory.py
 
 
README-mpgraph.mp
README-mpgraph.mp
 
 
README.log
README.log
 
 
README.md
README.md
 
 
README.tmp
README.tmp
 
 
README.tui
README.tui
 
 
_config.yml
_config.yml
 
 
blank.R
blank.R
 
 
calibration_wrappers.py
calibration_wrappers.py
 
 
conf_constant_costfunctions.py
conf_constant_costfunctions.py
 
 
costs.py
costs.py
 
 
dataset_confs.py
dataset_confs.py
 
 
filter_dataset_costsensitive.py
filter_dataset_costsensitive.py
 
 
get_accuracy_dataset.py
get_accuracy_dataset.py
 
 
optimize_2_thresholds_prefix.py
optimize_2_thresholds_prefix.py
 
 
optimize_2_thresholds_prefix_set_second_prefix.py
optimize_2_thresholds_prefix_set_second_prefix.py
 
 
optimize_3_thresholds_prefix.py
optimize_3_thresholds_prefix.py
 
 
optimize_alarm1_grid_search.py
optimize_alarm1_grid_search.py
 
 
optimize_alarm1_threshold_compensation.py
optimize_alarm1_threshold_compensation.py
 
 
optimize_alarm2_grid_search.py
optimize_alarm2_grid_search.py
 
 
optimize_alarm2_threshold_compensation.py
optimize_alarm2_threshold_compensation.py
 
 
optimize_alarm2_vs_alarm1_hierachical.py
optimize_alarm2_vs_alarm1_hierachical.py
 
 
optimize_alarm2_vs_alarm1_threshold_compensation.py
optimize_alarm2_vs_alarm1_threshold_compensation.py
 
 
optimize_multi_alarms_same_time.py
optimize_multi_alarms_same_time.py
 
 
optimize_multiple_thresholds_compensation.py
optimize_multiple_thresholds_compensation.py
 
 
optimize_params_lgbm.py
optimize_params_lgbm.py
 
 
optimize_params_rf.py
optimize_params_rf.py
 
 
optimize_params_xgboost.py
optimize_params_xgboost.py
 
 
optimize_params_xgboost_alarms2.py
optimize_params_xgboost_alarms2.py
 
 
optimize_perfect_alarm_threshold.py
optimize_perfect_alarm_threshold.py
 
 
optimize_threshold.py
optimize_threshold.py
 
 
optimize_threshold_compensation.py
optimize_threshold_compensation.py
 
 
optimize_threshold_effectiveness.py
optimize_threshold_effectiveness.py
 
 
plot_1_vs_1_results.R
plot_1_vs_1_results.R
 
 
plot_alarm__articial_1_corel.R
plot_alarm__articial_1_corel.R
 
 
plot_alarm_prefixes_corel.R
plot_alarm_prefixes_corel.R
 
 
plot_alarm_results_artifical_classifier.R
plot_alarm_results_artifical_classifier.R
 
 
plot_alarm_results_artifical_classifier_single.R
plot_alarm_results_artifical_classifier_single.R
 
 
plot_alarm_results_final.R
plot_alarm_results_final.R
 
 
plot_alarm_results_nonmyopic.R
plot_alarm_results_nonmyopic.R
 
 
plot_alarm_results_supplementary.R
plot_alarm_results_supplementary.R
 
 
plot_avg_pos_artificial_classifier.py
plot_avg_pos_artificial_classifier.py
 
 
plot_avg_pos_prefixes.py
plot_avg_pos_prefixes.py
 
 
plot_nonmonotonic.R
plot_nonmonotonic.R
 
 
rewrite_event_name.py
rewrite_event_name.py
 
 
rewrite_method.py
rewrite_method.py
 
 
test_2_threholds_prefix.py
test_2_threholds_prefix.py
 
 
test_2_thresholds_set_prefixes.py
test_2_thresholds_set_prefixes.py
 
 
test_3_thresholds_prefix.py
test_3_thresholds_prefix.py
 
 
test_alarm1_optimized_threshold.py
test_alarm1_optimized_threshold.py
 
 
test_alarm2_optimized_threshold_compensation.py
test_alarm2_optimized_threshold_compensation.py
 
 
test_fixed_thresholds.py
test_fixed_thresholds.py
 
 
test_fixed_thresholds_with_compensation.py
test_fixed_thresholds_with_compensation.py
 
 
test_multi_1_vs_1.py
test_multi_1_vs_1.py
 
 
test_multi_1_vs_1_expected_utility.py
test_multi_1_vs_1_expected_utility.py
 
 
test_multi_1_vs_1_hierachical.py
test_multi_1_vs_1_hierachical.py
 
 
test_multi_alarms_same_time.py
test_multi_alarms_same_time.py
 
 
test_multi_cost_sensitive_alarm2.py
test_multi_cost_sensitive_alarm2.py
 
 
test_multi_optimized_thresholds_compensation.py
test_multi_optimized_thresholds_compensation.py
 
 
test_optimized_threshold.py
test_optimized_threshold.py
 
 
test_optimized_thresholds_compensation.py
test_optimized_thresholds_compensation.py
 
 
test_optimized_thresholds_effectiveness.py
test_optimized_thresholds_effectiveness.py
 
 
test_second_threshold.py
test_second_threshold.py
 
 
test_threshold_nonmyopic_prefixnr.py
test_threshold_nonmyopic_prefixnr.py
 
 
write_lgbm_predictions.py
write_lgbm_predictions.py
 
 
write_lgbm_predictions_random_split.py
write_lgbm_predictions_random_split.py
 
 
write_rf_predictions.py
write_rf_predictions.py
 
 

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This repository contains the python scripts used for the master thesis "Decision Making in Prescriptive Process Monitoring" by Stephan A. Fahrenkrog-Petersen. The thesis was supervised by Matthias Weidlich (Humboldt-Universität zu Berlin), Fabrizio Maria Maggi and Marlon Dumas (both from the university of Tartu).

A lot of the code in this repository was based on code from Irene Teinemaa and Niek Tax, available here: https://github.com/TaXxER/AlarmBasedProcessPrediction

The code in this repository is provided under the MIT licence.

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