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WSDM
2009
ACM
136views Data Mining» more  WSDM 2009»
14 years 3 months ago
Mining common topics from multiple asynchronous text streams
Text streams are becoming more and more ubiquitous, in the forms of news feeds, weblog archives and so on, which result in a large volume of data. An effective way to explore the...
Xiang Wang 0002, Kai Zhang, Xiaoming Jin, Dou Shen
DASFAA
2007
IEEE
202views Database» more  DASFAA 2007»
14 years 3 months ago
Optimizing Moving Queries over Moving Object Data Streams
With the increasing in demand on location-based aware services and RFIDs, efficient processing of continuous queries over moving object streams becomes important. In this paper, w...
Dan Lin, Bin Cui, Dongqing Yang
GRID
2008
Springer
13 years 10 months ago
An integrated resource management and scheduling system for grid data streaming applications
Grid data streaming applications are novel from others in that they require real-time data supply while the processing is going on, which necessitates harmonious collaborations am...
Wen Zhang, Junwei Cao, Yisheng Zhong, Lianchen Liu...
MLDM
2009
Springer
14 years 3 months ago
Relational Frequent Patterns Mining for Novelty Detection from Data Streams
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...
CIKM
2005
Springer
14 years 2 months ago
On the estimation of frequent itemsets for data streams: theory and experiments
In this paper, we devise a method for the estimation of the true support of itemsets on data streams, with the objective to maximize one chosen criterion among {precision, recall}...
Pierre-Alain Laur, Richard Nock, Jean-Emile Sympho...