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» Challenges for Data Mining in Distributed Sensor Networks
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FGCS
2006
111views more  FGCS 2006»
13 years 9 months ago
Collaborative data visualization for Earth Sciences with the OptIPuter
Collaborative visualization of large-scale datasets across geographically distributed sites is becoming increasingly important for Earth Sciences. Not only does it enhance our und...
Nut Taesombut, Xinran (Ryan) Wu, Andrew A. Chien, ...
GD
2005
Springer
14 years 2 months ago
D-Dupe: An Interactive Tool for Entity Resolution in Social Networks
Visualizing and analyzing social networks is a challenging problem that has been receiving growing attention. An important first step, before analysis can begin, is ensuring that...
Mustafa Bilgic, Louis Licamele, Lise Getoor, Ben S...
SDM
2009
SIAM
185views Data Mining» more  SDM 2009»
14 years 6 months ago
Understanding Importance of Collaborations in Co-authorship Networks: A Supportiveness Analysis Approach.
Co-authorship networks, an important type of social networks, have been studied extensively from various angles such as degree distribution analysis, social community extraction a...
Bin Zhou 0002, Jian Pei, Yan Jia, Yi Han
SIGMOD
2004
ACM
92views Database» more  SIGMOD 2004»
14 years 9 months ago
The Price of Validity in Dynamic Networks
Massive-scale self-administered networks like Peer-to-Peer and Sensor Networks have data distributed across thousands of participant hosts. These networks are highly dynamic with ...
Mayank Bawa, Aristides Gionis, Hector Garcia-Molin...
ICNP
2007
IEEE
14 years 3 months ago
Multicast Algorithms for Multi-Channel Wireless Mesh Networks
— Multicast is a key technology that provides efficient data communication among a set of nodes for wireless multi-hop networks. In sensor networks and MANETs, multicast algorit...
Guo-Kai Zeng, Bo Wang 0001, Yong Ding, Li Xiao, Ma...