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» Continuous subspace clustering in streaming time series
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EDBT
2010
ACM
156views Database» more  EDBT 2010»
13 years 11 months ago
Pattern detector: fast detection of suspicious stream patterns for immediate reaction
Detecting emerging problems in information and manufacturing systems is the goal of monitoring tools. Good and timely detection of problematic conditions from measured indicators ...
Ira Assent, Hardy Kremer, Stephan Günnemann, ...
JIIS
2006
147views more  JIIS 2006»
13 years 7 months ago
Mining sequential patterns from data streams: a centroid approach
In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...
Alice Marascu, Florent Masseglia
CCGRID
2008
IEEE
14 years 2 months ago
Modeling "Just-in-Time" Communication in Distributed Real-Time Multimedia Applications
—The research area of Multimedia Content Analysis (MMCA) considers all aspects of the automated extraction of new knowledge from large multimedia data streams and archives. In re...
R. Yang, Robert D. van der Mei, D. Roubos, Frank J...
ASC
2008
13 years 7 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...
MM
2004
ACM
145views Multimedia» more  MM 2004»
14 years 29 days ago
Segmentation and recognition of multi-attribute motion sequences
In this work, we focus on fast and efficient recognition of motions in multi-attribute continuous motion sequences. 3D motion capture data, animation motion data, and sensor data ...
Chuanjun Li, Peng Zhai, Si-Qing Zheng, Balakrishna...