222 search results - page 9 / 45 » Tight results for clustering and summarizing data streams |
IJCAI
2007
13 years 9 months ago
2007
The martingale framework for detecting changes in data stream, currently only applicable to labeled data, is extended here to unlabeled data using clustering concept. The one-pass...
TKDE
2008
13 years 7 months ago
2008
This paper presents a time series whole clustering system that incrementally constructs a tree-like hierarchy of clusters, using a top-down strategy. The Online Divisive-Agglomera...
ACSW
2004
13 years 9 months ago
2004
In data clustering, many approaches have been proposed such as K-means method and hierarchical method. One of the problems is that the results depend heavily on initial values and...
ACSW
2004
13 years 9 months ago
2004
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
SIGMOD
2006
ACM
14 years 7 months ago
2006
ACM
Traditional duplicate elimination techniques are not applicable to many data stream applications. In general, precisely eliminating duplicates in an unbounded data stream is not f...