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» Clustering Text Data Streams
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IIS
2003
13 years 9 months ago
Ontology-based Text Document Clustering
Text clustering typically involves clustering in a high dimensional space, which appears difficult with regard to virtually all practical settings. In addition, given a particular...
Steffen Staab, Andreas Hotho
ICDM
2008
IEEE
142views Data Mining» more  ICDM 2008»
14 years 2 months ago
Clustering Events on Streams Using Complex Context Information
Monitoring applications play an increasingly important role in many domains. They detect events in monitored systems and take actions such as invoke a program or notify an adminis...
YongChul Kwon, Wing Yee Lee, Magdalena Balazinska,...
FLAIRS
2001
13 years 9 months ago
Tracking Clusters in Evolving Data Sets
As organizations accumulate data over time, the problem of tracking how patterns evolve becomes important. In this paper, we present an algorithm to track the evolution of cluster...
Daniel Barbará, Ping Chen
ECAI
2010
Springer
13 years 8 months ago
A Very Fast Method for Clustering Big Text Datasets
Large-scale text datasets have long eluded a family of particularly elegant and effective clustering methods that exploits the power of pair-wise similarities between data points ...
Frank Lin, William W. Cohen
SAC
2008
ACM
13 years 7 months ago
Sensor stream reduction for clustered wireless sensor networks
This work presents the use of sensor stream reduction algorithms in clustered wireless sensor networks (WSNs), where the cluster head node is responsible to reduce the amount of d...
André L. L. de Aquino, Carlos Mauricio S. F...