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» Mining Multivariate Time-Series Sensor Data to Discover Beha...
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KDD
1999
ACM
117views Data Mining» more  KDD 1999»
13 years 9 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
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
14 years 4 days ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...