1347 search results - page 185 / 270 » Using Clustering Methods for Discovering Event Structures |
130
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ICDM
2008
IEEE
15 years 9 months ago
2008
IEEE
We present a new visualization of the distance and cluster structure of high dimensional data. It is particularly well suited for analysis tasks of users unfamiliar with complex d...
154
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PEWASUN
2007
ACM
15 years 4 months ago
2007
ACM
The neighborhood discovery and its maintenance are very important in wireless networks for any applications, especially for routing and every self-∗ algorithm. Neighbor nodes ar...
161
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COMAD
2009
15 years 4 months ago
2009
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
123
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GIS
2009
ACM
15 years 7 months ago
2009
ACM
Traditional regression analysis derives global relationships between variables and neglects spatial variations in variables. Hence they lack the ability to systematically discover...
166
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DCOSS
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. We develop a practical, distributed algorithm to detect events, identify measurement errors, and infer missing readings in ecological applications of wireless sensor netw...