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What is Continuous Query

Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends
Query defined over the flooding data stream and producing in output a stream of answers.
Published in Chapter:
Synopsis Data Structures for Representing, Querying, and Mining Data Streams
Alfredo Cuzzocrea (University of Calabria, Italy)
DOI: 10.4018/978-1-60566-242-8.ch075
Abstract
Data-stream query processing and mining is an emerging challenge for the database research community. This issue has recently gained the attention from the academic as well as the industrial world. Data streams are continuously flooding data produced by untraditional information sources. They are generated by a growing number of data entities, among all we recall performance measurements in network monitoring and traffic management systems, call details records in telecommunication systems, transactions in retail chains, ATM operations, log records generated by Web servers, sensor network data, RFID- (radio frequency identification) based readings, and so forth.
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Database Support for M-Commerce and L-Commerce
A continuous query is a query, which is re-evaluated continuously. For example, the query “give me the most updated temperature” will return different readings depending on the current moment. Some continuous queries are also location-dependent. For instance, the query “show me the nearest gas station” will continually execute a location-dependent query. Advanced query processing technique is needed, in conjunction with moving object databases.
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Data Streams Processing Techniques Data Streams Processing Techniques
A data streams’ query which is evaluated continuously over time with the continuous arrival of data streams.
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