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Event Processing Network Model (võtmesõna)

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Kirjeid leitud 4
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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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Kirjeid leitud 4, kuvan 1 - 4

1. Event Processing Network Model
2. Event Processing Network (EPN)
3. complex event processing
4. event processing
5. in-network data processing
6. business network model
7. hydraulic network model
8. linear Delta robots neural network based model
9. recurrent neural network language model
10. anoxic event
11. Business Event Modeling Notation (BEMN)
12. carbon burial event
13. Daleje Event
14. discrete event modelling
15. discrete event systems
16. discrete-event systems
17. event
18. Event Admin
19. event correlation
20. Event detection
21. event log analysis
22. event log clustering
23. event mean concentrations
24. event message
25. event recognition
26. event reconstruction
27. event related potential
28. Event reproduction number
29. event sedimentation
30. Event-B
31. event-based control
32. event-driven
33. event-driven data
34. event-triggered control
35. Frequency disturbance event
36. generic object-oriented substation event
37. Great Ordovician Biodiversification Event
38. Great Ordovician Biodiversification Event (GOBE)
39. Great Ordovician Biodiversity Event (GOBE)
40. great oxidation event
41. Ireviken event
42. Lau Event
43. life and business event services
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. Shunga-Francevillian event
54. simple event correlator
55. single event effects
56. Single Event Transient (SET) and Soft Errors
57. Single Event Upset (SEU)
58. single event upsets
59. single-event effects
60. Single-Event Upset (SEU)
61. single-event upsets
62. acoustic signal processing
63. adaptive signal processing
64. Analytical Processing
65. audio signal processing
66. automatic processing of solutions
67. batch processing
68. biomedical signal processing
69. biopolymer processing
70. circularity and processing
71. cloud processing
72. communication-time processing
73. co-processing
74. data processing
75. differential power processing (DPP)
76. digital signal processing
77. EEG processing
78. extensible processing platform
79. gas processing
80. gaseous products of oil shale processing
81. graph processing
82. graphics processing unit
83. graphics processing units
84. graphics processing units (GPUs)
85. high-performance computing systems, Information processing
86. high-pressure processing
87. image processing
88. Image Processing and Pattern Recognition
89. informatics/image processing
90. information processing
91. information processing system
92. innovation in processing strategies
93. knowledge processing
94. language processing
95. laser processing
96. meat processing
97. Mineral processing
98. multicore processing
99. multi-level selection and processing environment
100. mussel processing
101. natural language processing
102. natural lan-guage processing
103. natural language processing (NLP)
104. NearSensor processing
105. neural processing unit
106. nonlinear signal processing
107. oil shale processing
108. online analytical processing
109. parallel data processing
110. parallel processing
111. parallel processing systems
112. partial power processing
113. Partial power processing (PPP)
114. personal data processing
115. pipe-lined signal processing architectures
116. polymer processing
117. polyprotein processing
118. post-processing
119. powder processing
120. processing
121. processing map
122. processing of bioinspired materials
123. processing platform
124. processing system
125. processing-in-memory
126. RNA processing
127. rubber processing
128. sensor signal processing
129. Shale-oil thermal processing
130. signal processing
131. signal processing algorithms
132. signals processing
133. sol-gel processing
134. stateful packet processing
135. stream processing
136. sustainable biomass processing
137. sustainable processing
138. thermal processing
139. thermal processing diagram
140. wet processing
141. vibration signal processing
142. video signal processing
143. voice processing
144. wood processing wastewater
145. vote processing

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