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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. automated data processing
67. automatic processing of solutions
68. batch processing
69. biomedical signal processing
70. biopolymer processing
71. circularity and processing
72. cloud processing
73. communication-time processing
74. co-processing
75. data processing
76. differential power processing (DPP)
77. digital signal processing
78. EEG processing
79. extensible processing platform
80. FDM processing
81. gas processing
82. gaseous products of oil shale processing
83. graph processing
84. graphics processing unit
85. graphics processing units
86. graphics processing units (GPUs)
87. high-performance computing systems, Information processing
88. high-pressure processing
89. image processing
90. Image Processing and Pattern Recognition
91. informatics/image processing
92. information processing
93. information processing system
94. innovation in processing strategies
95. knowledge processing
96. language processing
97. laser processing
98. meat processing
99. Mineral processing
100. multicore processing
101. multi-level selection and processing environment
102. mussel processing
103. natural language processing
104. natural lan-guage processing
105. natural language processing (NLP)
106. NearSensor processing
107. neural processing unit
108. nonlinear signal processing
109. oil shale processing
110. online analytical processing
111. parallel data processing
112. parallel processing
113. parallel processing systems
114. partial power processing
115. Partial power processing (PPP)
116. personal data processing
117. pipe-lined signal processing architectures
118. polymer processing
119. polyprotein processing
120. post-processing
121. powder processing
122. processing
123. processing map
124. processing of bioinspired materials
125. processing platform
126. processing system
127. processing-in-memory
128. RNA processing
129. rubber processing
130. sensor signal processing
131. Shale-oil thermal processing
132. signal processing
133. signal processing algorithms
134. signals processing
135. sol-gel processing
136. stateful packet processing
137. stream processing
138. sustainable biomass processing
139. sustainable processing
140. thermal processing
141. thermal processing diagram
142. wet processing
143. vibration signal processing
144. video signal processing
145. voice processing
146. wood processing wastewater
147. vote processing

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