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IJCAI
2007
13 years 9 months ago
Detecting Changes in Unlabeled Data Streams Using Martingale
The martingale framework for detecting changes in data stream, currently only applicable to labeled data, is extended here to unlabeled data using clustering concept. The one-pass...
Shen-Shyang Ho, Harry Wechsler
FGCN
2007
IEEE
109views Communications» more  FGCN 2007»
14 years 2 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
SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
11 years 10 months ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
14 years 2 months ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010
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