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» iJoin: Importance-Aware Join Approximation over Data Streams
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SSDBM
2008
IEEE
111views Database» more  SSDBM 2008»
13 years 11 months ago
iJoin: Importance-Aware Join Approximation over Data Streams
We consider approximate join processing over data streams when memory limitations cause incoming tuples to overflow the available space, precluding exact processing. Selective evi...
Dhananjay Kulkarni, Chinya V. Ravishankar
SIGMOD
2003
ACM
161views Database» more  SIGMOD 2003»
14 years 5 months ago
Approximate Join Processing Over Data Streams
We consider the problem of approximating sliding window joins over data streams in a data stream processing system with limited resources. In our model, we deal with resource cons...
Abhinandan Das, Johannes Gehrke, Mirek Riedewald
ICDE
2009
IEEE
216views Database» more  ICDE 2009»
13 years 2 months ago
Continuous Subgraph Pattern Search over Graph Streams
Search over graph databases has attracted much attention recently due to its usefulness in many fields, such as the analysis of chemical compounds, intrusion detection in network t...
Changliang Wang, Lei Chen 0002
VLDB
2004
ACM
134views Database» more  VLDB 2004»
13 years 10 months ago
Memory-Limited Execution of Windowed Stream Joins
We address the problem of computing approximate answers to continuous sliding-window joins over data streams when the available memory may be insufficient to keep the entire join...
Utkarsh Srivastava, Jennifer Widom
PODS
2005
ACM
211views Database» more  PODS 2005»
14 years 5 months ago
Join-distinct aggregate estimation over 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. Pro...
Sumit Ganguly, Minos N. Garofalakis, Amit Kumar, R...