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SSDBM
2007
IEEE
212views Database» more  SSDBM 2007»
15 years 12 months ago
Adaptive-Size Reservoir Sampling over Data Streams
Reservoir sampling is a well-known technique for sequential random sampling over data streams. Conventional reservoir sampling assumes a fixed-size reservoir. There are situation...
Mohammed Al-Kateb, Byung Suk Lee, Xiaoyang Sean Wa...
PAKDD
2010
ACM
212views Data Mining» more  PAKDD 2010»
15 years 10 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...
ISCI
2006
58views more  ISCI 2006»
15 years 5 months ago
Streaming data reduction using low-memory factored representations
Many special purpose algorithms exist for extracting information from streaming data. Constraints are imposed on the total memory and on the average processing time per data item....
David Littau, Daniel Boley
EWSN
2006
Springer
16 years 5 months ago
Semantic Streams: A Framework for Composable Semantic Interpretation of Sensor Data
We present a framework called Semantic Streams that allows users to pose declarative queries over semantic interpretations of sensor data. For example, instead of querying raw magn...
Kamin Whitehouse, Feng Zhao, Jie Liu
PKDD
2005
Springer
101views Data Mining» more  PKDD 2005»
15 years 11 months ago
A Random Method for Quantifying Changing Distributions in Data Streams
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
Haixun Wang, Jian Pei