532 search results - page 46 / 107 » Clustering Text Data Streams |
138
Voted
SAC
2009
ACM
15 years 10 months ago
2009
ACM
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
111
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AINA
2008
IEEE
15 years 5 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...
138
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LREC
2010
15 years 4 months ago
2010
Named Entity Recognition is a relatively well-understood NLP task, with many publicly available training resources and software for English. Other languages tend to be underserved...
135
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CIKM
2003
Springer
15 years 8 months ago
2003
Springer
Keeping track of changes in user interests from a document stream with a few relevance judgments is not an easy task. To tackle this problem, we propose a novel method that integr...
124
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ICDM
2005
IEEE
15 years 9 months ago
2005
IEEE
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...