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DMIN
2008
152views Data Mining» more  DMIN 2008»
15 years 5 months ago
PCS: An Efficient Clustering Method for High-Dimensional Data
Clustering algorithms play an important role in data analysis and information retrieval. How to obtain a clustering for a large set of highdimensional data suitable for database ap...
Wei Li 0011, Cindy Chen, Jie Wang
ICDE
2009
IEEE
171views Database» more  ICDE 2009»
16 years 5 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
DEXA
2003
Springer
146views Database» more  DEXA 2003»
15 years 9 months ago
An Access Time Cost Model for Spatial Range Queries on Broadcast Geographical Data over Air
Wireless data broadcasting is well known for its excellent scalability. Most geographical data, such as weather and traffic, is public information and has a large number of potenti...
Jianting Zhang, Le Gruenwald
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
16 years 3 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
DASFAA
2007
IEEE
178views Database» more  DASFAA 2007»
15 years 10 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