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ICDE
2007
IEEE
148views Database» more  ICDE 2007»
14 years 9 months ago
Conquering the Divide: Continuous Clustering of Distributed Data Streams
Data is often collected over a distributed network, but in many cases, is so voluminous that it is impractical and undesirable to collect it in a central location. Instead, we mus...
Graham Cormode, S. Muthukrishnan, Wei Zhuang
WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
14 years 2 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
FGCN
2007
IEEE
109views Communications» more  FGCN 2007»
14 years 1 months ago
Flow Balancing Hardware for Parallel TCP Streams on Long Fat Pipe Network
Parallel TCP streams are used for data transfer between clusters in today's high performance applications. When parallel TCP streams are used on LFN, part of streams fail to ...
Yutaka Sugawara, Mary Inaba, Kei Hiraki
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
14 years 8 months ago
A multinomial clustering model for fast simulation of computer architecture designs
Computer architects utilize simulation tools to evaluate the merits of a new design feature. The time needed to adequately evaluate the tradeoffs associated with adding any new fe...
Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R....
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
14 years 1 months ago
Unsupervised Clustering In Streaming Data
Tools for automatically clustering streaming data are becoming increasingly important as data acquisition technology continues to advance. In this paper we present an extension of...
Dimitris K. Tasoulis, Niall M. Adams, David J. Han...