PDC 2020

Comparing process discovery algorithms

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Comparing process discovery algorithms

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Classification of Log Skeleton on aXfYnZ data set

August 27, 2019 by Eric Leave a Comment

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…]

Posted in: aXfYnZ, Classification, Log Skeleton

Classification of Inductive Miner (OR) on PDC 2020 data set

August 27, 2019 by Eric Leave a Comment

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…]

Posted in: Classification, Inductive Miner (OR), PDC 2020

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

August 27, 2019 by Eric Leave a Comment

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…]

Posted in: Classification, Inductive Miner (OR), PDC 2019

Classification of Inductive Miner (OR) on PDC 2017 data set

August 27, 2019 by Eric Leave a Comment

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…]

Posted in: Classification, Inductive Miner (OR), PDC 2017

Classification of Inductive Miner (OR) on PDC 2016 data set

August 27, 2019 by Eric Leave a Comment

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…]

Posted in: Classification, Inductive Miner (OR), PDC 2016

Classification of Inductive Miner (OR) on aXfYnZ data set

August 27, 2019 by Eric Leave a Comment

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…]

Posted in: aXfYnZ, Classification, Inductive Miner (OR)

Classification of Inductive Miner on PDC 2020 data set

August 27, 2019 by Eric Leave a Comment

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…]

Posted in: Classification, Inductive Miner, PDC 2020

Classification of Inductive Miner on PDC 2019 data set

August 27, 2019 by Eric Leave a Comment

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…]

Posted in: Classification, Inductive Miner, PDC 2019

Classification of Inductive Miner on PDC 2017 data set

August 27, 2019 by Eric Leave a Comment

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…]

Posted in: Classification, Inductive Miner, PDC 2017

Classification of Inductive Miner on PDC 2016 data set

August 27, 2019 by Eric Leave a Comment

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…]

Posted in: Classification, Inductive Miner, PDC 2016
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Recent Posts

  • F-score of all miners on PDC 2020 data set
  • F-score of Alpha Miner on PDC 2020 data set
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  • F-score of Inductive Miner on PDC 2020 data set

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