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CISIS
2009
IEEE
9 years 1 months ago
Evaluation of a Framework for Dynamic Source Selection in Stream Processing
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...
Kousuke Ohki, Yousuke Watanabe, Hiroyuki Kitagawa
CORR
2002
Springer
92views Education» more  CORR 2002»
9 years 3 months ago
When to Update the sequential patterns of stream data?
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...
Qingguo Zheng, Ke Xu, Shilong Ma
ASC
2008
9 years 4 months ago
Dynamic classification for video stream using support vector machine
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...
Mariette Awad, Yuichi Motai
ACSW
2004
9 years 5 months ago
Clustering Stream Data by Regression Analysis
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...
Masahiro Motoyoshi, Takao Miura, Isamu Shioya
CBMS
2006
IEEE
9 years 10 months ago
An Infrastructure of Stream Data Mining, Fusion and Management for Monitored Patients
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, ...
Hyoil Han, Han C. Ryoo, Herbert Patrick
HPCC
2007
Springer
9 years 10 months ago
Continuous Adaptive Outlier Detection on Distributed Data Streams
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...
Liang Su, Weihong Han, Shuqiang Yang, Peng Zou, Ya...
SSDBM
2007
IEEE
172views Database» more  SSDBM 2007»
9 years 10 months ago
Enabling Real-Time Querying of Live and Historical Stream Data
Applications that query data streams in order to identify trends, patterns, or anomalies can often beneļ¬t from comparing the live stream data with archived historical stream dat...
Frederick Reiss, Kurt Stockinger, Kesheng Wu, Arie...
ICDE
2003
IEEE
148views Database» more  ICDE 2003»
10 years 5 months ago
Dynamic Clustering of Evolving Streams with a Single Pass
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 ...
Jiong Yang
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
10 years 5 months ago
Approximate Clustering on Distributed Data Streams
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...
Qi Zhang, Jinze Liu, Wei Wang 0010
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