586 search results - page 12 / 118 » Unsupervised Clustering In Streaming Data |
ICDM
2009
IEEE
14 years 7 months ago
2009
IEEE
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
LREC
2008
14 years 11 months ago
2008
Based on simple methods such as observing word and part of speech tag co-occurrence and clustering, we generate syntactic parses of sentences in an entirely unsupervised and self-...
ACSC
2005
IEEE
15 years 3 months ago
2005
IEEE
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
CICLING
2007
Springer
15 years 4 months ago
2007
Springer
Ambiguous person names are a problem in many forms of written text, including that which is found on the Web. In this paper we explore the use of unsupervised clustering techniques...
DKE
2006
14 years 10 months ago
2006
In recent years, the management and processing of so-called data streams has become a topic of active research in several fields of computer science such as, e.g., distributed sys...