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VLDB
2004
ACM
104views Database» more  VLDB 2004»
14 years 27 days ago
Remembrance of Streams Past: Overload-Sensitive Management of Archived Streams
This paper studies Data Stream Management Systems that combine real-time data streams with historical data, and hence access incoming streams and archived data simultaneously. A s...
Sirish Chandrasekaran, Michael J. Franklin
ICONIP
2009
13 years 5 months ago
Exploring Early Classification Strategies of Streaming Data with Delayed Attributes
In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data sam...
Mónica Millán-Giraldo, J. Salvador S...
DATE
2000
IEEE
121views Hardware» more  DATE 2000»
13 years 12 months ago
Composite Signal Flow: A Computational Model Combining Events, Sampled Streams, and Vectors
The composite signal flow model of computation targets systems with significant control and data processing parts. It builds on the data flow and synchronous data flow models ...
Axel Jantsch, Per Bjuréus
ICDE
2006
IEEE
142views Database» more  ICDE 2006»
14 years 9 months ago
End-biased Samples for Join Cardinality Estimation
We present a new technique for using samples to estimate join cardinalities. This technique, which we term "end-biased samples," is inspired by recent work in network tr...
Cristian Estan, Jeffrey F. Naughton
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
14 years 7 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu