CISIS
2009
IEEE
13 years 8 months ago
2009
IEEE
The volume of stream data delivered from different information sources is increasing. There are a variety of demands to utilize such stream data for applications. Stream processin...
CORR
2002
Springer
13 years 10 months ago
2002
Springer
In this paper, we first define a difference measure between the old and new sequential patterns of stream data, which is proved to be a distance. Then we propose an experimental me...
ASC
2008
13 years 11 months ago
2008
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...
ACSW
2004
14 years 9 days 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...
CBMS
2006
IEEE
14 years 5 months ago
2006
IEEE
This paper proposes an infrastructure for data mining, fusion and patient care management using continuous stream data monitored from critically ill patients. Stream data mining, ...
HPCC
2007
Springer
14 years 5 months ago
2007
Springer
In many applications, stream data are too voluminous to be collected in a central fashion and often transmitted on a distributed network. In this paper, we focus on the outlier det...
SSDBM
2007
IEEE
14 years 5 months ago
2007
IEEE
Applications that query data streams in order to identify trends, patterns, or anomalies can often benefit from comparing the live stream data with archived historical stream dat...
ICDE
2003
IEEE
15 years 8 days ago
2003
IEEE
Stream data is common in many applications, e.g., stock quotes, merchandize sales record, system logs, etc.. It is of great importance to analyze these stream data. As one of the ...
ICDE
2008
IEEE
15 years 8 days ago
2008
IEEE
Abstract-- We investigate the problem of clustering on distributed data streams. In particular, we consider the k-median clustering on stream data arriving at distributed sites whi...