S3J

a parallel semi-stream similarity join

Hao Gao, Muhammad Asif Naeem, Christof Lutteroth, Gerald Weber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
Original languageEnglish
Title of host publicationProceedings of the 18th International Workshop On Data Warehousing and OLAP (DOLAP), 2015
Place of PublicationNew York, U. S. A.
PublisherAssociation for Computing Machinery
Pages49-57
Number of pages9
ISBN (Print)9781450337854
DOIs
Publication statusPublished - 2015

Cite this

Gao, H., Naeem, M. A., Lutteroth, C., & Weber, G. (2015). S3J: a parallel semi-stream similarity join. In Proceedings of the 18th International Workshop On Data Warehousing and OLAP (DOLAP), 2015 (pp. 49-57). New York, U. S. A.: Association for Computing Machinery. https://doi.org/10.1145/2811222.2811226

S3J : a parallel semi-stream similarity join. / Gao, Hao; Naeem, Muhammad Asif; Lutteroth, Christof; Weber, Gerald.

Proceedings of the 18th International Workshop On Data Warehousing and OLAP (DOLAP), 2015. New York, U. S. A. : Association for Computing Machinery, 2015. p. 49-57.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gao, H, Naeem, MA, Lutteroth, C & Weber, G 2015, S3J: a parallel semi-stream similarity join. in Proceedings of the 18th International Workshop On Data Warehousing and OLAP (DOLAP), 2015. Association for Computing Machinery, New York, U. S. A., pp. 49-57. https://doi.org/10.1145/2811222.2811226
Gao H, Naeem MA, Lutteroth C, Weber G. S3J: a parallel semi-stream similarity join. In Proceedings of the 18th International Workshop On Data Warehousing and OLAP (DOLAP), 2015. New York, U. S. A.: Association for Computing Machinery. 2015. p. 49-57 https://doi.org/10.1145/2811222.2811226
Gao, Hao ; Naeem, Muhammad Asif ; Lutteroth, Christof ; Weber, Gerald. / S3J : a parallel semi-stream similarity join. Proceedings of the 18th International Workshop On Data Warehousing and OLAP (DOLAP), 2015. New York, U. S. A. : Association for Computing Machinery, 2015. pp. 49-57
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