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» Approximate Join Processing Over Data Streams
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VLDB
1999
ACM
133views Database» more  VLDB 1999»
14 years 27 days ago
Online Dynamic Reordering for Interactive Data Processing
We present a pipelining, dynamically usercontrollable reorder operator, for use in dataintensive applications. Allowing the user to reorder the data delivery on the fly increases...
Vijayshankar Raman, Bhaskaran Raman, Joseph M. Hel...
CIKM
2006
Springer
14 years 12 days ago
Resource-aware kernel density estimators over streaming data
A fundamental building block of many data mining and analysis approaches is density estimation as it provides a comprehensive statistical model of a data distribution. For that re...
Christoph Heinz, Bernhard Seeger
VLDB
2005
ACM
93views Database» more  VLDB 2005»
14 years 2 months ago
Revisiting Pipelined Parallelism in Multi-Join Query Processing
Multi-join queries are the core of any integration service that integrates data from multiple distributed data sources. Due to the large number of data sources and possibly high v...
Bin Liu, Elke A. Rundensteiner
KDD
2003
ACM
194views Data Mining» more  KDD 2003»
14 years 9 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
PODS
2004
ACM
207views Database» more  PODS 2004»
14 years 8 months ago
Adaptive Sampling for Geometric Problems over Data Streams
Geometric coordinates are an integral part of many data streams. Examples include sensor locations in environmental monitoring, vehicle locations in traffic monitoring or battlefi...
John Hershberger, Subhash Suri