532 search results - page 7 / 107 » Clustering Text Data Streams |
AMW
2010
13 years 9 months ago
2010
Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
APWEB
2006
Springer
13 years 11 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...
CGA
2005
13 years 7 months ago
2005
In today's fast-paced world, it is increasingly difficult to understand and act promptly upon the content of the many information streams available. Temporal pooling addresse...
DAWAK
2004
Springer
14 years 1 months ago
2004
Springer
Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose SCLOPE, a novel algorith...