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- W49930002 abstract "In Complex Event Processing (CEP) applications such as supply chain management and financial data analysis, the capability to match patterns over data sequences is increasingly becoming an important need. This not only involves finding event patterns of interest on live data streams but also requires a similar functionality over archived sequences of streams for historical analysis, verification, and correlation. The goal of this thesis is to extend a relational database system with the capability to match patterns over contiguous sequences of rows stored in a database table. More specifically, we have implemented a major subset of the 2007 ANSI standard proposal on adding MATCH RECOGNIZE clause to standard SQL on top of the MySQL open-source database engine. We have done this in a way to leverage the existing MySQL architecture and processing model as much as possible, while at the same time carefully identifying the parts where brand new extensions were necessary. Thus, one of the main contributions of this thesis is that it clearly shows what it takes in general to add pattern matching capability to any relational database engine." @default.
- W49930002 created "2016-06-24" @default.
- W49930002 creator A5085400693 @default.
- W49930002 date "2008-01-01" @default.
- W49930002 modified "2023-09-23" @default.
- W49930002 title "Pattern matching over sequences of rows in a relational database system" @default.
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- W49930002 doi "https://doi.org/10.3929/ethz-a-005705286" @default.
- W49930002 hasPublicationYear "2008" @default.
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