Event sequence processing: new models and optimization techniques
Proceedings of the Fourth SIGMOD PhD Workshop on Innovative Database Research
E-Cube: multi-dimensional event sequence analysis using hierarchical pattern query sharing
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Active complex event processing over event streams
Proceedings of the VLDB Endowment
Expert Systems with Applications: An International Journal
A platform for situational awareness in operational BI
Decision Support Systems
Live BI: a framework for real time operations management
DNIS'11 Proceedings of the 7th international conference on Databases in Networked Information Systems
Utility-maximizing event stream suppression
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
An application of sensor and streaming analytics to oil production
Proceedings of the 17th International Conference on Management of Data
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In this paper, we describe the design of our architecture for Continuous, Heterogeneous Analysis Over Streams, aka CHAOS that combines stream processing, approximation techniques, mining, complex event processing and visualization. CHAOS, with the novel concept of Computational Stream Analysis Cube, provides an effective, scalable platform for near real time processing of business and enterprise streams. We describe our approach with a real data center temperature analysis application.