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DEXA
2006
Springer
121views Database» more  DEXA 2006»
9 years 3 months ago
DCF: An Efficient Data Stream Clustering Framework for Streaming Applications
Streaming applications, such as environment monitoring and vehicle location tracking require handling high volumes of continuously arriving data and sudden fluctuations in these vo...
Kyungmin Cho, SungJae Jo, Hyukjae Jang, Su Myeon K...
ICDE
2009
IEEE
171views Database» more  ICDE 2009»
10 years 1 months ago
A Framework for Clustering Massive-Domain Data Streams
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...
Charu C. Aggarwal
ICDE
2003
IEEE
148views Database» more  ICDE 2003»
10 years 1 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
153views Database» more  ICDE 2008»
10 years 1 months ago
A Framework for Clustering Uncertain Data Streams
Abstract-- In recent years, uncertain data management applications have grown in importance because of the large number of hardware applications which measure data approximately. F...
Charu C. Aggarwal, Philip S. Yu
ACSW
2004
9 years 1 months ago
Cost-Efficient Mining Techniques for Data Streams
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...
Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady...
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