Event Processing
Event Processing is a computational paradigm within Event-Driven Architecture that systematically analyzes and reacts to streams of event data by identifying meaningful patterns, relationships, and conditions in real time to trigger subsequent actions or inform decision-making.
834
Publications
37K
Citations
4.2K
Authors
931
Institutions
Publications per year
2017–2026
202
Parents
834
High-performance complex event processing over streams
Eugene Wu, Yanlei Diao, Shariq Rizvi · 2006 · 835 citations
The stages of event extraction
Composite Events for Active Databases: Semantics, Contexts and Detection
Sharma Chakravarthy, V. Krishnaprasad, Eman Anwar et al. · Very Large Data Bases · 1994 · 486 citations
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IBM Research - Haifa
Haifa, Israel
16 h-index
52 publications
2K citations
ETH Zurich
Zurich, Switzerland
15 h-index
55 publications
2.9K citations
Technion – Israel Institute of Technology
Haifa, Israel
13 h-index
23 publications
937 citations

University of Toronto
Toronto, Canada
13 h-index
36 publications
2K citations

Ollscoil na Gaillimhe – University of Galway
Galway, Ireland
12 h-index
34 publications
1.3K citations

Worcester Polytechnic Institute
Worcester, United States
12 h-index
35 publications
1.6K citations
IBM (United States)
Armonk, United States
12 h-index
33 publications
1.1K citations

European Organization for Nuclear Research
Geneva, Switzerland
11 h-index
372 publications
14.8K citations
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12 publications · 1.2K citations
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PVLDB · 11 publications · 674 citations
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13 publications · 463 citations
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13 publications · 354 citations
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14 publications · 299 citations
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