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» A Framework for Clustering Massive-Domain Data Streams
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ICDE
2009
IEEE
171views Database» more  ICDE 2009»
10 years 25 days 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
IDA
2007
Springer
9 years 5 months ago
Visualising the Cluster Structure of Data Streams
The increasing availability of streaming data is a consequence of the continuing advancement of data acquisition technology. Such data provides new challenges to the various data a...
Dimitris K. Tasoulis, Gordon J. Ross, Niall M. Ada...
DEXA
2006
Springer
121views Database» more  DEXA 2006»
9 years 2 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...
VLDB
2004
ACM
126views Database» more  VLDB 2004»
9 years 4 months ago
A Framework for Projected Clustering of High Dimensional Data Streams
Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Phil...
DASFAA
2007
IEEE
178views Database» more  DASFAA 2007»
9 years 5 months ago
ClusterSheddy : Load Shedding Using Moving Clusters over Spatio-temporal Data Streams
Abstract. Moving object environments are characterized by large numbers of objects continuously sending location updates. At times, data arrival rates may spike up, causing the loa...
Rimma V. Nehme, Elke A. Rundensteiner
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