302 search results - page 50 / 61 » Efficient frequent pattern mining over data streams |
121
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SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
Given a collection of Boolean spatio-temporal(ST) event types, the cascading spatio-temporal pattern (CSTP) discovery process finds partially ordered subsets of event-types whose ...
AINA
2008
IEEE
14 years 11 months ago
2008
IEEE
Sensor networks usually generate continuous stream of data over time. Clustering sensor data as a core task of mining sensor data plays an essential role in analytical application...
HPCC
2007
Springer
15 years 3 months ago
2007
Springer
Data missing is a common problem in database query processing, which can cause bias or lead to inefficient analyses, and this problem happens more often in sensor databases. The re...
156
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SIGMOD
2005
ACM
15 years 9 months ago
2005
ACM
A defining characteristic of continuous queries over on-line data streams, possibly bounded by sliding windows, is the potentially infinite and time-evolving nature of their input...
KDD
2010
ACM
15 years 1 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...