Languages, automata, and logic
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Introduction to Algorithms
Continuous queries over data streams
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Modelling and Querying Video Data
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Issues in data stream management
ACM SIGMOD Record
Chain: operator scheduling for memory minimization in data stream systems
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PSoup: a system for streaming queries over streaming data
The VLDB Journal — The International Journal on Very Large Data Bases
Path sharing and predicate evaluation for high-performance XML filtering
ACM Transactions on Database Systems (TODS)
Static optimization of conjunctive queries with sliding windows over infinite streams
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Exploiting k-constraints to reduce memory overhead in continuous queries over data streams
ACM Transactions on Database Systems (TODS)
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Operator placement for in-network stream query processing
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Operator scheduling in a data stream manager
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
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This article introduces the notion of virtual feature stream, a feature stream defined from a primary data stream, in which at any time only the features that are needed to compute the queries that are currently running in the system are computed. Virtual feature streams are, in general, impossible to determine a priori, but the paper introduces an algorithm that stops the computation of features as soon as it can be proved that they are no longer needed thus generating, albeit in a roundabout and more expensive than the ideal way, a feature stream that is less expensive than the complete one to compute and safe: the queries that accept the virtual feature stream are those (and only those) that would accept the original feature stream.