Kristof Böhmer

Computer Science

1. Business Process 100%
2. Anomaly Detection 94%
3. Process Execution 68%
4. False Positive 31%
5. Process Model 31%
6. Business Process Monitoring 31%
7. Prediction Model 23%
8. Multiple Instance 21%
9. Association Rules 21%
10. In-Process 21%
11. Multiple Domain 21%
12. Root Cause Analysis 15%
13. Concurrency 15%
14. Performance Problem 15%
15. Dynamic Process 15%
16. mining association rule 15%
17. Prediction Technique 15%
18. Genetic Algorithm 15%
19. Temporal Behavior 15%
20. Signature Generation 15%
21. Instance Data 15%
22. Process Instance 13%
23. Control Flow 10%
24. Unexpected Event 10%
25. Access Pattern 10%
26. Resource Access 10%
27. Security Breach 10%
28. Use Case 10%
29. Testing Process 10%
30. Detecting Anomaly 10%
31. Execution Time 10%
32. Participating Process 7%
33. Alternative Future 7%
34. Individual User 7%
35. Prediction Accuracy 7%
36. Model Correctness 5%
37. Deep Learning Method 5%
38. Deadlock 5%
39. Case Generation 5%
40. Verification Process 5%
41. Dynamic Environment 5%
42. Performance Test 5%
43. Explanatory Power 5%
44. Presented Approach 5%
45. Neural Network 5%
46. Process Mining Technique 5%
47. Open Source 5%
48. Enterprise Resource Planning 5%
49. Smart Meters 5%
50. Analyst Process 5%