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» Challenges for Data Mining in Distributed Sensor Networks
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KDD
2009
ACM
146views Data Mining» more  KDD 2009»
14 years 2 months ago
Mining in a mobile environment
Distributed PRocessing in Mobile Environments (DPRiME) is a framework for processing large data sets across an ad-hoc network. Developed to address the shortcomings of Google’s ...
Sean McRoskey, James Notwell, Nitesh V. Chawla, Ch...
AINA
2006
IEEE
14 years 1 months ago
Peer-to-Peer Usage Analysis: a Distributed Mining Approach
With the huge number of information sources available on the Internet, Peer-to-Peer (P2P) systems offer a novel kind of system architecture providing the large-scale community wit...
Florent Masseglia, Pascal Poncelet, Maguelonne Tei...
IJCNN
2007
IEEE
14 years 2 months ago
Agnostic Learning vs. Prior Knowledge Challenge
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C...
GIS
2005
ACM
14 years 8 months ago
Spatial queries in sensor networks
Recent advances in low-power sensing devices coupled with the widespread availability of wireless ad-hoc networks have fueled the development of sensor networks. These are typical...
Amir Soheili, Vana Kalogeraki, Dimitrios Gunopulos
CORR
2008
Springer
106views Education» more  CORR 2008»
13 years 7 months ago
GossiCrypt: Wireless Sensor Network Data Confidentiality Against Parasitic Adversaries
Resource and cost constraints remain a challenge for wireless sensor network security. In this paper, we propose a new approach to protect confidentiality against a parasitic adver...
Jun Luo, Panos Papadimitratos, Jean-Pierre Hubaux