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» Clustering Distributed Time Series in Sensor Networks
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AAAI
1998
13 years 7 months ago
Concepts From Time Series
This paper describes a way of extracting concepts from streams of sensor readings. In particular, we demonstrate the value of attractor reconstruction techniques for transforming ...
Michael T. Rosenstein, Paul R. Cohen
NN
2006
Springer
105views Neural Networks» more  NN 2006»
13 years 5 months ago
Unfolding preprocessing for meaningful time series clustering
Clustering methods are commonly applied to time series, either as a preprocessing stage for other methods or in their own right. In this paper it is explained why time series clus...
Geoffroy Simon, John Aldo Lee, Michel Verleysen
KDD
1999
ACM
117views Data Mining» more  KDD 1999»
13 years 10 months ago
Identifying Distinctive Subsequences in Multivariate Time Series by Clustering
Most time series comparison algorithms attempt to discover what the members of a set of time series have in common. We investigate a di erent problem, determining what distinguish...
Tim Oates
ICWN
2008
13 years 7 months ago
Coverage Efficient Clustering Method Based on Time Delay for Wireless Sensor Networks
Energy efficient operations are essential to increase the lifetime of wireless sensor network. A clustering-based protocol is one approach that reduces energy by a data aggregation...
Ji Gong, Hyuntae Kim, Gihwan Cho
IPSN
2004
Springer
13 years 11 months ago
Distributed beamforming for information transfer in sensor networks
Energy efficient transfer of data from sensors is a fundamental problem in sensor networks. In this paper, we propose a distributed beamforming approach to this problem, with a cl...
Gwen Barriac, Raghuraman Mudumbai, Upamanyu Madhow