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3,898
Symptom Matching for Event Streams
, 2012
"... Enterprise systems produce a vast amount of logging data. This critical and valuable information must be processed automatically for timely system analysis and recovery. As a result of industry demands, a standard database containing known issues has been introduced – a symptom database. Each sympto ..."
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symptom consists of a rule pattern and corresponding solutions. Patterns used for symptom identification are encoded as a XPath expression and matched against a stream of events in a standardized WSGI format Common Base Event. The ability of an efficient matching for symptom patterns has been raised
Visualisation techniques for Event Stream Analysis
"... We describe several approaches to visualising data contained in log files which record the stream of events from various simulation applications. Besides identifying several existing useful techniques, we also report experience with the use of VRML 2.0 to reanimate log files into three-dimensiona ..."
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We describe several approaches to visualising data contained in log files which record the stream of events from various simulation applications. Besides identifying several existing useful techniques, we also report experience with the use of VRML 2.0 to reanimate log files into three
Utility-Maximizing Event Stream Suppression ∗
"... Complex Event Processing (CEP) has emerged as a technology for monitoring event streams in search of user specified event patterns. When a CEP system is deployed in sensitive environments the user may wish to mitigate leaks of private information while ensuring that useful nonsensitive patterns are ..."
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Complex Event Processing (CEP) has emerged as a technology for monitoring event streams in search of user specified event patterns. When a CEP system is deployed in sensitive environments the user may wish to mitigate leaks of private information while ensuring that useful nonsensitive patterns
Efficient pattern matching over event streams
, 2007
"... Pattern matching over event streams is increasingly being employed in many areas including financial services, RFID-based inventory management, click stream analysis, and elec-tronic health systems. While regular expression matching is well studied, pattern matching over streams presents two new cha ..."
Abstract
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Cited by 91 (3 self)
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Pattern matching over event streams is increasingly being employed in many areas including financial services, RFID-based inventory management, click stream analysis, and elec-tronic health systems. While regular expression matching is well studied, pattern matching over streams presents two new
On differentially private filtering for event streams
- in Proceedings of the Conference on Decision and Control
, 2013
"... Abstract — Rigorous privacy mechanisms that can cope with dynamic data are required to encourage a wider adoption of large-scale monitoring and decision systems relying on end-user information. A promising approach to develop these mechanisms is to specify quantitative privacy requirements at design ..."
Abstract
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Cited by 1 (1 self)
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at design time rather than as an afterthought, and to rely on signal processing techniques to achieve satisfying trade-offs between privacy and performance specifications. This paper discusses, from the signal processing point of view, an event stream analysis problem introduced in the database and cryp
Exploiting Event Stream Interpretation in Publish-Subscribe Systems
- In Proc. of ACM Symposium on Principles of Distributed Computing
, 2001
"... Publish-subscribe messaging middleware typically offers limited and low-level options for quality of service, such as best-effort delivery versus reliable delivery, or ordered versus unordered. We propose a new, high-level approach to specifying quality of service, in which the consumer specifies an ..."
Abstract
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Cited by 24 (0 self)
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an event stream interpretation function that maps an event stream into a state that represents the consumer's semantics of the stream. Under this approach, the system may deliver either the subscribed event stream, or any alternative stream whose image under the interpretation function yields the same
ZELESSA: SENSING, ANALYSING AND ACTING ON CONTINUOUS EVENT STREAMS
"... In applications field such as business activity monitoring, telecommunications data management, web personalization and sensor networks event takes the form of continuous event streams. Clients require to sense situations and exceptions in these continuous event stream as opposed to one-time queries ..."
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In applications field such as business activity monitoring, telecommunications data management, web personalization and sensor networks event takes the form of continuous event streams. Clients require to sense situations and exceptions in these continuous event stream as opposed to one
A fast algorithm for finding frequent episodes in event streams
- In Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
, 2007
"... A fast algorithm for finding frequent episodes in event streams ..."
Abstract
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Cited by 26 (6 self)
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A fast algorithm for finding frequent episodes in event streams
Probabilistic Timing Join over Uncertain Event Streams
"... This paper addresses the problem of processing eventtiming queries over event streams where the uncertainty in the values of the timestamps is characterizable by histograms. We describe a stream-partitioning technique for checking the satisfaction of a probabilistic timing constraint upon event arri ..."
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This paper addresses the problem of processing eventtiming queries over event streams where the uncertainty in the values of the timestamps is characterizable by histograms. We describe a stream-partitioning technique for checking the satisfaction of a probabilistic timing constraint upon event
Advanced hierarchical event-stream model
- In Proceedings of the EuroMicro Conference on Real-Time Systems
, 2008
"... Abstract—Analyzing future distributed real-time systems, au-tomotive and avionic systems, is requiring compositional hard real-time analysis techniques. Well known established techniques as SymTA/S and the real-time calculus are candidates solving the mentioned problem. However both techniques use q ..."
Abstract
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Cited by 7 (0 self)
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quite simple event models. SymTA/S is based on discrete events the real-time calculus on continuous functions. Such simple models has been choosen because of the computational complexity of the considered mathematical operations required for real-time analysis. Advances in approximation techniques
Results 1 - 10
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3,898
