Most existing approaches to complex event processing over streaming data rely on the assumption that the matches to the queries are rare and that the goal of the system is to identify these few matches within the incoming deluge of data. In many applications, such as stock market analysis and user credit card purchase pattern monitoring, however the matches to the user queries are in fact plentiful and the system has to efficiently sift through these many matches to locate only the few most preferable matches.
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- Partial requirement for: M.S., Arizona State University, 2011Note typethesis
- Includes bibliographical references (p. 50-51)Note typebibliography
- Field of study: Computer science