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Event Processing Network (EPN) (keyword)

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Analyzing Apache Storm as core for an event processing network modelSchulze, Christin; Gerner, Christian; Tyca, Matthias; Koschel, Arne; Pakosch, Anna; Astrova, IrinaIntelligent systems and applications : proceedings of the 2021 Intelligent Systems Conference (IntelliSys). Volume 32024 / p. 397 - 410 https://doi.org/10.1007/978-3-031-47715-7_27 Conference Proceedings at Scopus Article at Scopus Article at WOS

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Evaluating RuleCore as event processing network modelAstrova, Irina; Koschel, Arne; Kobert, SebastianProceedings of the 15th International Conference on Web Information Systems and Technologies, WEBIST 2019, Vienna, Austria, September 18-20, 2019. Vol. 12019 / p. 297–300 : ill https://doi.org/10.5220/0008192302970300

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Is Amazon Kinesis data analytics suitable as core for an event processing network model?Koschel, Arne; Astrova, Irina; Pakosch, Anna; Gerner, Christian; Schulze, Christin; Tyca, MatthiasProceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,2024 / p. 1036 - 1043 https://doi.org/10.5220/0012432800003636 Conference proceedings at Scopus Article at Scopus

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On requirements for event processing network models using business event modeling notationKoschel, Arne; Astrova, Irina; Kobert, Sebastian; Naumann, Jan; Ruhe, Tobias; Starodubtsev, OlegIntelligent Computing : Proceedings of the 2018 Computing Conference. Volume 1 Intelligent Computing2019 / p. 756-762 https://doi.org/10.1007/978-3-030-01174-1_57 Conference proceedings at Scopus Article at Scopus Article at WOS

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Would Microsoft Azure Stream Analytics Be a Suitable Foundationfor an Event Processing Network Model?Koschel, Arne; Pakosch, Anna; Schulze, Christin; Astrova, Irina; Gerner, Christian; Tyca, MatthiasProceedings of the 17th International Conference on Agents and Artificial Intelligence. Vol. 1: ICAART, 15-22, 2025 , Porto, Portugal2025 / p. 15-22 : ill https://doi.org//10.5220/0013073000003890 Conference proceedings at Scopus Article at Scopus

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Number of records 5, displaying 1 - 5

1. Event Processing Network (EPN)
2. Event Processing Network Model
3. complex event processing
4. event processing
5. in-network data processing
6. anoxic event
7. BP event
8. Business Event Modeling Notation (BEMN)
9. carbon burial event
10. Daleje Event
11. discrete event modelling
12. discrete event systems
13. discrete-event systems
14. event
15. Event Admin
16. event correlation
17. Event detection
18. event log analysis
19. event log clustering
20. event mean concentrations
21. event message
22. event recognition
23. event reconstruction
24. event related potential
25. Event reproduction number
26. event sedimentation
27. Event-B
28. event-based control
29. event-based exchange
30. event-driven
31. event-driven data
32. event-triggered control
33. Frequency disturbance event
34. generic object-oriented substation event
35. Great Ordovician Biodiversification Event
36. Great Ordovician Biodiversification Event (GOBE)
37. Great Ordovician Biodiversity Event (GOBE)
38. great oxidation event
39. Ireviken event
40. Lau Event
41. life and business event services
42. LLM-based template detection from security event logs
43. LLMs for event log analysis
44. Lomagundi-Jatuli event
45. mega-event
46. mining line patterns from event logs
47. mining patterns from event logs
48. mulde/lundgreni event
49. pattern mining for event logs
50. pattern mining from event logs
51. ramp event detection
52. risk event chain analyses
53. Security event log analysis
54. Shunga-Francevillian event
55. simple event correlator
56. single event effects
57. Single Event Transient (SET) and Soft Errors
58. Single Event Upset (SEU)
59. single event upsets
60. single-event effects
61. Single-Event Upset (SEU)
62. single-event upsets
63. Template detection from event logs
64. 2.8 ka event

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