Maximizing the Output Rate of Multi-Way Join Queries over Streaming Information Sources
By Stratis Viglas, Jeffrey F. Naughton, J. Burger. Very Large Data Bases Conference, 2003
295 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/827677fe68f681f338603f2f77afd35702de8f40
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
- Jennifer Widom
- Arvind Arasu
- Lukasz Golab
- M. Tamer Özsu
- Shivnath Babu
- Charu C. Aggarwal
- Freddy Lécué
- Samuel Madden
In Computational Theory and Mathematics
In Computer Networks and Communications
- Jennifer Widom
- Arvind Arasu
- M. Tamer Özsu
- Lukasz Golab
- Shivnath Babu
- Charu C. Aggarwal
- Freddy Lécué
- Samuel Madden
Citations in the corpus
- Processing Sliding Window Multi-Joins in Continuous Queries over Data Streams (2003, methodology): “[29] have developed a multi-way version of the XJoin called the MJoin.”
- The CQL continuous query language: semantic foundations and query execution (2006, methodology): “Consequently, a multiway join can be processed in two ways – using mjoin, which does not materialize intermediate results [43], or using a tree of binary joins.”