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» CURE: An Efficient Clustering Algorithm for Large Databases
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ICDE
2008
IEEE
153views Database» more  ICDE 2008»
16 years 5 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
IPPS
2006
IEEE
15 years 10 months ago
Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Sr...
DKE
2006
109views more  DKE 2006»
15 years 3 months ago
Xandy: A scalable change detection technique for ordered XML documents using relational databases
Previous work in change detection to XML documents is not suitable for detecting the changes to large XML documents as it requires a lot of memory to keep the two versions of XML ...
Erwin Leonardi, Sourav S. Bhowmick
GIS
2008
ACM
16 years 5 months ago
Efficient data modeling and querying system for multi-dimensional spatial data
Multi-dimensional spatial data are obtained when a number of data acquisition devices are deployed at different locations to measure a certain set of attributes of the study subje...
Wei Li, Cindy X. Chen
143
Voted
WWW
2010
ACM
15 years 10 months ago
Empirical comparison of algorithms for network community detection
Detecting clusters or communities in large real-world graphs such as large social or information networks is a problem of considerable interest. In practice, one typically chooses...
Jure Leskovec, Kevin J. Lang, Michael W. Mahoney