79 search results - page 5 / 16 » Visually mining and monitoring massive time series |
KDD
2010
ACM
13 years 11 months ago
2010
ACM
The detection of repeated subsequences, time series motifs, is a problem which has been shown to have great utility for several higher-level data mining algorithms, including clas...
PODS
2005
ACM
14 years 7 months ago
2005
ACM
The challenge of monitoring massive amounts of data generated by communication networks has led to the interest in data stream processing. We study streams of edges in massive com...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
Event detection is a critical task in sensor networks, especially for environmental monitoring applications. Traditional solutions to event detection are based on analyzing one-sh...