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» Testing and Spot-Checking of Data Streams
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ICDE
2008
IEEE
153views Database» more  ICDE 2008»
14 years 11 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
JCP
2008
103views more  JCP 2008»
13 years 9 months ago
Weighted Clustering and Evolutionary Analysis of Hybrid Attributes Data Streams
It presents some definitions of projected cluster and projected cluster group on hybrid attributes after having given some definitions on ordered attributes and sorted attributes t...
Xinquan Chen
PAAPP
2008
76views more  PAAPP 2008»
13 years 9 months ago
Group-aware stream filtering for bandwidth-efficient data dissemination
In this paper 1 we are concerned with disseminating high-volume data streams to many simultaneous applications over a low-bandwidth wireless mesh network. For bandwidth efficiency...
Ming Li, David Kotz
ACML
2009
Springer
14 years 2 months ago
Improving Adaptive Bagging Methods for Evolving Data Streams
We propose two new improvements for bagging methods on evolving data streams. Recently, two new variants of Bagging were proposed: ADWIN Bagging and Adaptive-Size Hoeffding Tree (...
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer...
PAKDD
2010
ACM
212views Data Mining» more  PAKDD 2010»
14 years 2 months ago
Fast Perceptron Decision Tree Learning from Evolving Data Streams
Abstract. Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffdi...
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer...