Towards proactive event-driven computing

作者: Yagil Engel , Opher Etzion

DOI: 10.1145/2002259.2002279

关键词:

摘要: … event processing functionality that is required to support proactivity; next, we extend the event … predictive agents that may derive future uncertain events based on prediction models, and …

参考文章(30)
Opher Etzion, Segev Wasserkrug, Avigdor Gal, A Model for Reasoning with Uncertain Rules in Event Composition Systems arXiv: Artificial Intelligence. ,(2012)
Michael Kearns, Yishay Mansour, Andrew Y. Ng, A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes Machine Learning. ,vol. 49, pp. 193- 208 ,(2002) , 10.1023/A:1017932429737
Uri Nodelman, Christian R. Shelton, Daphne Koller, Continuous time bayesian networks ,(2007)
Opher Etzion, Peter Niblett, Event Processing in Action ,(2010)
David Maxwell Chickering, David Heckerman, Christopher Meek, A Bayesian approach to learning Bayesian networks with local structure uncertainty in artificial intelligence. pp. 80- 89 ,(1997)
Opher Etzion, Yonit Magid, Ella Rabinovich, Inna Skarbovsky, Nir Zolotorevsky, Context aware computing and its utilization in event-based systems Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems - DEBS '10. pp. 270- 281 ,(2010) , 10.1145/1827418.1827470
Shlomi Dolev, Marina Kopeetsky, Adi Shamir, RFID Authentication Efficient Proactive Information Security within Computational Security Theory of Computing Systems \/ Mathematical Systems Theory. ,vol. 48, pp. 132- 149 ,(2011) , 10.1007/S00224-009-9236-0
Christopher Ré, Julie Letchner, Magdalena Balazinksa, Dan Suciu, None, Event queries on correlated probabilistic streams Proceedings of the 2008 ACM SIGMOD international conference on Management of data - SIGMOD '08. pp. 715- 728 ,(2008) , 10.1145/1376616.1376688