532 search results - page 28 / 107 » Clustering Text Data Streams |
MMSEC
2006
ACM
14 years 1 months ago
2006
ACM
The commercial reuse of 3D motion capture (Mocap) data in animation and life sciences raises issues with respect to its copyright. In order to improvise content protection of Moca...
DBISP2P
2008
Springer
13 years 9 months ago
2008
Springer
K-Means clustering is widely used in information retrieval and data mining. Distributed K-Means variants have already been proposed, but none of the past algorithms scales to large...
JMLR
2010
13 years 2 months ago
2010
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
APWEB
2005
Springer
14 years 1 months ago
2005
Springer
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...