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ICDM
2008
IEEE
179views Data Mining» more  ICDM 2008»
16 years 29 days ago
Detection and Exploration of Outlier Regions in Sensor Data Streams
Sensor networks play an important role in applications concerned with environmental monitoring, disaster management, and policy making. Effective and flexible techniques are need...
Conny Franke, Michael Gertz
SSDBM
2007
IEEE
212views Database» more  SSDBM 2007»
16 years 23 days 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 11 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 6 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 6 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