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» Mining Outliers in Spatial Networks
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PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
13 years 11 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
KDD
2009
ACM
150views Data Mining» more  KDD 2009»
14 years 8 months ago
Large human communication networks: patterns and a utility-driven generator
Given a real, and weighted person-to-person network which changes over time, what can we say about the cliques that it contains? Do the incidents of communication, or weights on t...
Nan Du, Christos Faloutsos, Bai Wang, Leman Akoglu
JIB
2010
149views more  JIB 2010»
13 years 2 months ago
Visualization and Analysis of a Cardio Vascular Disease- and MUPP1-related Biological Network combining Text Mining and Data War
t techniques to create such a network associated with an abstract cell environment is discussed in order to gain insights into the functional as well as spatial interrelationships....
Björn Sommer, Evgeny S. Tiys, Benjamin Kormei...
WWW
2010
ACM
14 years 2 months ago
Find me if you can: improving geographical prediction with social and spatial proximity
Geography and social relationships are inextricably intertwined; the people we interact with on a daily basis almost always live near us. As people spend more time online, data re...
Lars Backstrom, Eric Sun, Cameron Marlow
IPSN
2007
Springer
14 years 1 months ago
Hierarchical spatial gossip for multi-resolution representations in sensor networks
In this paper we propose a lightweight algorithm for constructing multi-resolution data representations for sensor networks. We compute, at each sensor node u, O(log n) aggregates...
Rik Sarkar, Xianjin Zhu, Jie Gao