Efficient pattern matching over event streams Export

@inproceedings{citeulike:4364979, abstract = {Pattern matching over event streams is increasingly being employed in many areas including financial services, RFIDbased inventory management, click stream analysis, and electronic health systems. While regular expression matching is well studied, pattern matching over streams presents two new challenges: Languages for pattern matching over streams are significantly richer than languages for regular expression matching. Furthermore, efficient evaluation of these pattern queries over streams requires new algorithms and optimizations: the conventional wisdom for stream query processing (i.e., using selection-join-aggregation) is inadequate.}, address = {New York, NY, USA}, author = {Agrawal, Jagrati and Diao, Yanlei and Gyllstrom, Daniel and Immerman, Neil}, booktitle = {SIGMOD '08: Proceedings of the 2008 ACM SIGMOD international conference on Management of data}, citeulike-article-id = {4364979}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1376616.1376634}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1376616.1376634}, doi = {10.1145/1376616.1376634}, isbn = {978-1-60558-102-6}, keywords = {stream}, location = {Vancouver, Canada}, pages = {147--160}, posted-at = {2009-04-19 16:19:52}, priority = {2}, publisher = {ACM}, title = {Efficient pattern matching over event streams}, url = {http://dx.doi.org/10.1145/1376616.1376634}, year = {2008} }

TY - CONF ID - citeulike:4364979 L3 - citeulike-article-id:4364979 N2 - Pattern matching over event streams is increasingly being employed in many areas including financial services, RFIDbased inventory management, click stream analysis, and electronic health systems. While regular expression matching is well studied, pattern matching over streams presents two new challenges: Languages for pattern matching over streams are significantly richer than languages for regular expression matching. Furthermore, efficient evaluation of these pattern queries over streams requires new algorithms and optimizations: the conventional wisdom for stream query processing (i.e., using selection-join-aggregation) is inadequate. CY - Vancouver, Canada SN - 978-1-60558-102-6 AD - New York, NY, USA EP - 160 TI - Efficient pattern matching over event streams PB - ACM T2 - SIGMOD '08: Proceedings of the 2008 ACM SIGMOD international conference on Management of data SP - 147 KW - stream AU - Agrawal, Jagrati AU - Diao, Yanlei AU - Gyllstrom, Daniel AU - Immerman, Neil PY - 2008/// UR - http://dx.doi.org/10.1145/1376616.1376634 ER -