Clustering Techniques for Reducing Noise in Business Process Mining
Id |
Name |
Description |
Size (KLOC) |
S1 |
University Enrollments |
Supports the university students’ self-enfrollments in various Spanish universities |
26.7 |
S2 |
Villasante Lab |
Manages a laboratory of the water and waste industry |
28.8 |
S3 |
Magic Table |
Creates, manages and simulates decision tables for associating conditions with domain-specific actions |
33.3 |
S4 |
Diabetes Care |
It is an Android application for diabetes patients, which analyzes blood (through an external device) and suggests diet plans. |
9.9 |
Name |
Ontology |
Academia |
|
Chemical |
|
Decision Table |
|
Diabetes Caree |
Op/Alg |
Time (ms) |
Size |
Density |
Connectivity |
Separability |
Precision |
Recall |
F-measure |
RF1 |
21.493 | 1.000 | 0.369 | 0.208 | 0.970 | 0.556 |
0.796 |
0.647 |
RF2 |
38.216 | 0.804 | 0.323 | 0.026 | 1.000 | |||
RF3 |
29.002 | 0.598 | 0.339 | 0.026 | 0.651 | |||
RF4 |
3.699 | 0.480 | 1.000 | 0.000 | 0.426 | |||
RF5 |
2.624 | 0.415 | 0.644 | 0.033 | 0.288 | |||
RF6 |
13.881 | 0.237 | 0.626 | 0.129 | 0.000 | |||
RF7 |
0.984 | 0.237 | 0.626 | 0.129 | 0.000 | |||
RF8 |
24.896 | 0.273 | 0.222 | 0.226 | 0.073 | |||
RF9 |
21.625 | 0.492 | 0.000 | 0.436 | 0.080 | |||
CL1-Structural |
78.148 | 0.000 | 0.693 | 0.141 | 0.080 | 0.898 |
0.532 |
0.642 |
CL2-Syntactic |
264.945 | 0.411 | 0.098 | 1.000 | 0.074 | 0.818 |
0.599 |
0.649 |
CL3-Semantic |
8108.374 | 0.452 | 0.081 | 0.793 | 0.076 | 0.804 |
0.630 |
0.660 |
Study Id | BP Id | Source BP | After CL1 | After CL2 | After CL3 |
S1 | 1 | go | go | go | go |
S1 | 2 | - | - | - | - |
S1 | 3 | go | go | go | go |
S1 | 4 | go | go | go | go |
S1 | 5 | - | - | - | - |
S1 | 6 | go | go | go | go |
S1 | 7 | go | go | go | go |
S1 | 8 | - | - | - | - |
S1 | 9 | go | go | go | go |
S2 | 10 | go | go | go | go |
S2 | 11 | go | go | go | go |
S2 | 12 | - | - | - | - |
S2 | 13 | go | go | go | go |
S2 | 14 | - | - | - | - |
S2 | 15 | - | - | - | - |
S2 | 16 | - | - | - | - |
S2 | 17 | - | - | - | - |
S2 | 18 | - | - | - | - |
S2 | 19 | - | - | - | - |
S2 | 20 | go | go | go | go |
S2 | 21 | - | - | - | - |
S2 | 22 | go | go | go | go |
S3 | 23 | - | - | - | - |
S3 | 24 | - | - | - | - |
S3 | 25 | - | - | - | - |
S3 | 26 | - | - | - | - |
S3 | 27 | go | go | go | go |
S3 | 28 | go | go | go | go |
S3 | 29 | - | - | - | - |
S3 | 30 | go | go | go | go |
S3 | 31 | go | go | go | go |
S3 | 32 | go | go | go | go |
S3 | 33 | - | - | - | - |
S3 | 34 | - | - | - | - |
S3 | 35 | go | go | go | go |
Master Data (EXCEL FILE) |
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