13476 search results - page 409 / 2696 » Learning from Streams |
187
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CLOUD
2010
ACM
15 years 11 months ago
2010
ACM
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
185
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SIAMCOMP
2002
15 years 6 months ago
2002
We consider the problem of maintaining aggregates and statistics over data streams, with respect to the last N data elements seen so far. We refer to this model as the sliding wind...
300
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ICDE
2008
IEEE
16 years 8 months ago
2008
IEEE
The management of privacy and security in the context of data stream management systems (DSMS) remains largely an unaddressed problem to date. Unlike in traditional DBMSs where acc...
298
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ICDE
2007
IEEE
16 years 8 months ago
2007
IEEE
Linear optimization queries retrieve the top-K tuples in a sliding window of a data stream that maximize/minimize the linearly weighted sums of certain attribute values. To effici...
132
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KDD
2005
ACM
16 years 7 months ago
2005
ACM
We consider the wavelet synopsis construction problem for data streams where given n numbers we wish to estimate the data by constructing a synopsis, whose size, say B is much sma...