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» iJoin: Importance-Aware Join Approximation over Data Streams
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ICDE
2007
IEEE
167views Database» more  ICDE 2007»
13 years 12 months ago
Load Shedding for Window Joins on Multiple Data Streams
We consider the problem of semantic load shedding for continuous queries containing window joins on multiple data streams and propose a robust approach that is effective with the ...
Yan-Nei Law, Carlo Zaniolo
EDBT
2004
ACM
174views Database» more  EDBT 2004»
14 years 5 months ago
Processing Data-Stream Join Aggregates Using Skimmed Sketches
There is a growing interest in on-line algorithms for analyzing and querying data streams, that examine each stream element only once and have at their disposal, only a limited amo...
Sumit Ganguly, Minos N. Garofalakis, Rajeev Rastog...
SIGMOD
2004
ACM
161views Database» more  SIGMOD 2004»
14 years 5 months ago
Approximation Techniques for Spatial Data
Spatial Database Management Systems (SDBMS), e.g., Geographical Information Systems, that manage spatial objects such as points, lines, and hyper-rectangles, often have very high ...
Abhinandan Das, Johannes Gehrke, Mirek Riedewald
ICDE
2006
IEEE
178views Database» more  ICDE 2006»
14 years 7 months ago
Characterizing and Exploiting Reference Locality in Data Stream Applications
In this paper, we investigate a new approach to process queries in data stream applications. We show that reference locality characteristics of data streams could be exploited in ...
Feifei Li, Ching Chang, George Kollios, Azer Besta...
ICDE
2009
IEEE
174views Database» more  ICDE 2009»
14 years 12 days ago
Sketching Sampled Data Streams
—Sampling is used as a universal method to reduce the running time of computations – the computation is performed on a much smaller sample and then the result is scaled to comp...
Florin Rusu, Alin Dobra