Classification of Split Miner on PDC 2019 data set

These graphs show the aggregated classification over three different runs, where for every category (FN, TP, TN, FP) the minimal number over the different runs is taken. For example, if 45 traces are TP in the first run, 40 in the second, and 42 in the third, then the value 40 is used as aggregated … [Read more…]

Classification of Log Skeleton (5% noise) on PDC 2019 data set

These graphs show the aggregated classification over three different runs, where for every category (FN, TP, TN, FP) the minimal number over the different runs is taken. For example, if 500 traces are TP in the first run, 490 in the second, and 495 in the third, then the value 490 is used as aggregated … [Read more…]

Accuracy of Log Skeleton (5% noise) on PDC 2019 data set

This graph shows the average accuracy values over three different runs for different models. This graph shows the average accuracy values over three different runs for different categories of models.

Classification of Log Skeleton on PDC 2019 data set

These graphs show the aggregated classification over three different runs, where for every category (FN, TP, TN, FP) the minimal number over the different runs is taken. For example, if 45 traces are TP in the first run, 40 in the second, and 42 in the third, then the value 40 is used as aggregated … [Read more…]

Classification of Inductive Miner (OR) on PDC 2019 data set

These graphs show the aggregated classification over three different runs, where for every category (FN, TP, TN, FP) the minimal number over the different runs is taken. For example, if 10 traces are TP in the first run, 8 in the second, and 9 in the third, then the value 8 is used as aggregated … [Read more…]

Classification of Inductive Miner on PDC 2019 data set

These graphs show the aggregated classification over three different runs, where for every category (FN, TP, TN, FP) the minimal number over the different runs is taken. For example, if 50 traces are TP in the first run, 45 in the second, and 48 in the third, then the value 45 is used as aggregated … [Read more…]

Classification of Hybrid ILP Miner on PDC 2019 data set

These graphs show the aggregated classification over three different runs, where for every category (FN, TP, TN, FP) the minimal number over the different runs is taken. For example, if 90 traces are TP in the first run, 45 in the second, and 48 in the third, then the value 45 is used as aggregated … [Read more…]

Classification of Fodina Miner on PDC 2019 data set

These graphs show the aggregated classification over three different runs, where for every category (FN, TP, TN, FP) the minimal number over the different runs is taken. For example, if 45 traces are TP in the first run, 40 in the second, and 42 in the third, then the value 40 is used as aggregated … [Read more…]

Classification of Alpha Miner on PDC 2019 data set

These graphs show the aggregated classification over three different runs, where for every category (FN, TP, TN, FP) the minimal number over the different runs is taken. For example, if 10 traces are TP in the first run, 8 in the second, and 9 in the third, then the value 8 is used as aggregated … [Read more…]