Event Trend Aggregation Under Rich Event Matching Semantics
Author:
Affiliation:
1. Microsoft Gray Systems Lab, Redmond, WA, USA
2. IBM Research - Almaden, San Jose, CA, USA
3. Worcester Polytechnic Institute, Worcester, MA, USA
4. Portland State University, Portland, OR, USA
Funder
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3299869.3319862
Reference42 articles.
1. Jagrati Agrawal Yanlei Diao Daniel Gyllstrom and Neil Immerman. 2008. Efficient pattern matching over event streams. In SIGMOD. 147--160. 10.1145/1376616.1376634 Jagrati Agrawal Yanlei Diao Daniel Gyllstrom and Neil Immerman. 2008. Efficient pattern matching over event streams. In SIGMOD. 147--160. 10.1145/1376616.1376634
2. Arvind Arasu and Jennifer Widom. 2004. Resource Sharing in Continuous Sliding-window Aggregates. In VLDB. 336--347. Arvind Arasu and Jennifer Widom. 2004. Resource Sharing in Continuous Sliding-window Aggregates. In VLDB. 336--347.
3. High-performance dynamic pattern matching over disordered streams
4. Early nested word automata for XPath query answering on XML streams
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