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» Estimating Missing Data in Data Streams
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SIGMOD
2003
ACM
158views Database» more  SIGMOD 2003»
14 years 10 months ago
Processing Set Expressions over Continuous Update Streams
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 ...
Sumit Ganguly, Minos N. Garofalakis, Rajeev Rastog...
IISWC
2008
IEEE
14 years 4 months ago
Temporal streams in commercial server applications
Commercial server applications remain memory bound on modern multiprocessor systems because of their large data footprints, frequent sharing, complex non-strided access patterns, ...
Thomas F. Wenisch, Michael Ferdman, Anastasia Aila...
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
14 years 11 months ago
A Framework for Clustering Uncertain Data Streams
Abstract-- In recent years, uncertain data management applications have grown in importance because of the large number of hardware applications which measure data approximately. F...
Charu C. Aggarwal, Philip S. Yu
DAWAK
2006
Springer
14 years 1 months ago
An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams
Recently, the data stream, which is an unbounded sequence of data elements generated at a rapid rate, provides a dynamic environment for collecting data sources. It is likely that ...
Jia-Ling Koh, Shu-Ning Shin
PODS
2003
ACM
143views Database» more  PODS 2003»
14 years 10 months ago
Maintaining variance and k-medians over data stream windows
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
Brian Babcock, Mayur Datar, Rajeev Motwani, Liadan...