257 search results - page 11 / 52 » An Approximate L1-Difference Algorithm for Massive Data Stre... |
PVLDB
2008
14 years 9 months ago
2008
Summaries of massive data sets support approximate query processing over the original data. A basic aggregate over a set of records is the weight of subpopulations specified as a ...
101
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DIS
2009
Springer
15 years 4 months ago
2009
Springer
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
103
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KAIS
2008
14 years 9 months ago
2008
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
183
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ICDE
2002
IEEE
15 years 11 months ago
2002
IEEE
Obtaining fast and good quality approximations to data distributions is a problem of central interest to database management. A variety of popular database applications including,...
147
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PODS
2009
ACM
15 years 10 months ago
2009
ACM
The problem of finding heavy hitters and approximating the frequencies of items is at the heart of many problems in data stream analysis. It has been observed that several propose...