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» Approximating Betweenness Centrality
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108
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INFFUS
2006
128views more  INFFUS 2006»
15 years 24 days ago
Distributed detection in a large wireless sensor network
A distributed detection and decision fusion scheme is proposed for a wireless sensor network (WSN) consisting of a large number of sensors. At the fusion center, the total number ...
Ruixin Niu, Pramod K. Varshney, Qi Cheng
115
Voted
INTERNET
2006
157views more  INTERNET 2006»
15 years 24 days ago
Distributed Data Mining in Peer-to-Peer Networks
Distributed data mining deals with the problem of data analysis in environments with distributed data, computing nodes, and users. Peer-to-peer computing is emerging as a new dist...
Souptik Datta, Kanishka Bhaduri, Chris Giannella, ...
101
Voted
JMLR
2008
133views more  JMLR 2008»
15 years 24 days ago
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
Suhrid Balakrishnan, David Madigan
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
14 years 10 months ago
Classification with Sums of Separable Functions
Abstract. We present a novel approach for classification using a discretised function representation which is independent of the data locations. We construct the classifier as a su...
Jochen Garcke
435
Voted
EMINDS
2011
244views more  EMINDS 2011»
14 years 7 months ago
A Framework for Designers to Support Prospective Design
In this paper, we analyze the term ”prospective design” from various perspectives. The theoretical-, research- and empirical-based approximations are centralized. Furthermore, ...
Udo Schubert