[1] Zhang H, Diao Y, Immerman N. On complexity and optimization of expensive queries in complex event processing[C]//SIGMOD2014. New York:ACM, 2014:217-228.
[2] Ray M, Lei C, Rundensteiner E A. Scalable pattern sharing on event streams[C]//SIGMOD 2016. New York:ACM, 2016:495-510.
[3] Poppe O, Lei C, Rundensteiner E A, et al. Context-Aware event stream analytics[C]//EDBT 2016. Konstanz:University Library, 2016:413-424.
[4] Ding L, Chen S, Rundensteiner E A, et al. Runtime semantic query optimization for event stream processing[C]//ICDE2008. Washington, DC:IEEE Computer Society, 2008:676-685.
[5] Gyllstrom D, Wu E, Chae H J, et al. SASE:complex event processing over streams[C]//CIDR2007. New York:ACM, 2007:407-411.
[6] Welbourne E, Khoussainova N, Letchner J, et al. Cascadia:A system for specifying, detecting, and managing RFID events[C]//Proceedings of the 6th International Conference on Mobile Systems. New York:ACM, 2008:281-294.
[7] Wang D, Rundensteiner E A, Iii R T E. Active complex event processing over event streams[J]. Proceedings of the VLDB Endowment, 2011, 4(4):634-645.
[8] Zhang H, Diao Y, Immerman N. Recognizing patterns instreams with imprecise timestamps[J]. Information Systems, 2013, 38(3):244-255.
[9] Yongluan Zhou, Chunyang Ma, Qingsong Guo, et al. Sequence Pattern Matching over Event Data with Temporal Uncertainty[C]//EDBT2014. Konstanz, Germany:University Library, 2014:205-216.
[10] Maximilian Dylla, Iris Miliaraki, Martin Theobald. A temporal-probabilistic database model for information extraction[J]. Proceedings of the Vldb Endowment, 2013, 6(14):1810-1821. |