| VLDBJ manuscript No. (will be inserted by the editor) Tracking Set-Expression Cardinalities over Continuous Update Streams (2008) | |||||||||||||||
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| The date of receipt and acceptance will be inserted by the editor Abstract There is growing interest in algorithms for processing and querying continuous data streams (i.e., data that is seen only once in a fixed order) with limited memory resources. In its most general form, a data stream is actually an update stream, i.e., comprising data-item deletions as well as insertions. Such massive update streams arise naturally in several application domains (e.g., monitoring of large IP network installations, or processing of retail-chain transactions). Estimating the cardinality of set expressions defined over several (perhaps, distributed) update streams is perhaps one of the most fundamental query classes of interest; as an example, such a query may ask “what is the number of distinct IP source addresses seen in passing | |||||||||||||||
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