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» Approximate Clustering on Distributed Data Streams
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ICDE
2008
IEEE
153views Database» more  ICDE 2008»
14 years 8 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
CCGRID
2006
IEEE
14 years 1 months ago
Calder Query Grid Service: Insights and Experimental Evaluation
We have architected and evaluated a new kind of data resource, one that is composed of a logical collection of ephemeral data streams that could be viewed as a collection of publi...
Nithya N. Vijayakumar, Ying Liu, Beth Plale
ICDE
2002
IEEE
204views Database» more  ICDE 2002»
14 years 8 months ago
Approximating a Data Stream for Querying and Estimation: Algorithms and Performance Evaluation
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,...
Sudipto Guha, Nick Koudas
CLUSTER
2001
IEEE
13 years 10 months ago
Approximation Algorithms for Data Distribution with Load Balancing of Web Servers
Given the increasing traffic on the World Wide Web (Web), it is difficult for a single popular Web server to handle the demand from its many clients. By clustering a group of Web ...
Li-Chuan Chen, Hyeong-Ah Choi
SSDBM
2008
IEEE
111views Database» more  SSDBM 2008»
14 years 1 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