941 search results - page 137 / 189 » Adaptive Learning from Evolving Data Streams |
133
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JSS
2010
14 years 7 months ago
2010
We study the problem of fast and energy-efficient data collection of sensory data using a mobile sink, in wireless sensor networks in which both the sensors and the sink move. Mot...
143
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VIS
2009
IEEE
16 years 1 months ago
2009
IEEE
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
105
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PRIB
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
100
Voted
IJCNN
2007
IEEE
15 years 6 months ago
2007
IEEE
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
102
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CIKM
2011
Springer
14 years 15 days ago
2011
Springer
Entity matching (EM) is the task of identifying records that refer to the same real-world entity from different data sources. While EM is widely used in data integration and data...