532 search results - page 13 / 107 » Clustering Text Data Streams |
SAC
2009
ACM
14 years 2 months ago
2009
ACM
Outlyingness is a subjective concept relying on the isolation level of a (set of) record(s). Clustering-based outlier detection is a field that aims to cluster data and to detect...
PAKDD
2005
ACM
14 years 1 months ago
2005
ACM
Abstract. The data stream model of computation is often used for analyzing huge volumes of continuously arriving data. In this paper, we present a novel algorithm called DUCstream ...
ECAI
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. This paper proposes a general framework for classifying data streams by exploiting incremental clustering in order to dynamically build and update an ensemble of incremen...
SDM
2007
SIAM
13 years 9 months ago
2007
SIAM
An increasing amount of data is produced in the form of text streams − these can be RSS news feeds, TV closed captions, emails, etc. We study the problem of answering keyword qu...
TKDE
2008
13 years 7 months ago
2008
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...