Event-based Detection
Event-Based Detection is a failure detection method that identifies system anomalies by analyzing discrete events or state changes, distinguished from other methods by its reliance on event-triggered observations rather than continuous or periodic monitoring.
156
Publications
8.4K
Citations
546
Authors
227
Institutions
Publications per year
2017–2026
65
Parents
156
Composite Events for Active Databases: Semantics, Contexts and Detection
Sharma Chakravarthy, V. Krishnaprasad, Eman Anwar et al. · Very Large Data Bases · 1994 · 486 citations
Chenliang Li, Aixin Sun, Anwitaman Datta · 2012 · 318 citations
Using Structured Events to Predict Stock Price Movement: An Empirical Investigation
Xiao Ding, Yue Zhang, Ting Liu et al. · 2014 · 277 citations · Full text
Computing, Computer Science, Finance +15
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227
Carnegie Mellon University
Pittsburgh, United States
7 h-index
20 publications
1.2K citations

Pennsylvania State University
State College, United States
4 h-index
9 publications
635 citations
Yuan Ze University
Taoyuan District, Taiwan
4 h-index
10 publications
290 citations

New Mexico State University
Las Cruces, United States
3 h-index
3 publications
200 citations
Institut de la Vision
Paris, France
3 h-index
7 publications
359 citations
University of California, Berkeley
Berkeley, United States
3 h-index
9 publications
150 citations
National Cheng Kung University
Tainan City, Taiwan
3 h-index
7 publications
124 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
7 publications
360 citations
1–8 of 227
Repository · 3 publications · 221 citations
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3 publications · 216 citations
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2 publications · 266 citations
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2 publications · 256 citations
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2 publications · 155 citations
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