Efficient pattern matching over event streams

By Jagrati Agrawal, Yanlei Diao, Daniel Gyllstrom, Neil Immerman. SIGMOD Conference, 2008

450 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/5766f1d81b672e8e65a8a4bb1fc20df6331cba49

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. S. Rudolph
2. Nenad Stojanovic
3. Schahram Dustdar
4. Quan Z. Sheng
5. Athanasios V. Vasilakos
6. Yongrui Qin

In Computer Networks and Communications

1. Yongrui Qin
2. S. Rudolph
3. Schahram Dustdar
4. Quan Z. Sheng
5. Athanasios V. Vasilakos
6. Nickolas J. G. Falkner

In Hardware and Architecture

1. Athanasios V. Vasilakos

Citations in the corpus

• EP-SPARQL: a unified language for event processing and stream reasoning (2011, methodology): “The work related to ours mainly fits into three areas: Streaming Database systems [1, 16, 8, 9], temporal RDF models [12, 17, 20], and Stream Reasoning approaches [4, 5, 21, 7].”
• When things matter: A survey on data-centric internet of things (2016, methodology): “Pattern matching over streams has been studied by Agrawal et al. (2008).”