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» Clustering performance data efficiently at massive scales
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194
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VLDB
2007
ACM
174views Database» more  VLDB 2007»
16 years 1 months ago
An adaptive and dynamic dimensionality reduction method for high-dimensional indexing
Abstract The notorious "dimensionality curse" is a wellknown phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well-known approa...
Heng Tao Shen, Xiaofang Zhou, Aoying Zhou
EWSN
2004
Springer
16 years 13 days ago
Design of Surveillance Sensor Grids with a Lifetime Constraint
A surveillance area is to be monitored using a grid network of heterogeneous sensor nodes. There are two types of nodes; type 0 nodes which perform sensing and relaying of data wit...
Vivek Mhatre, Catherine Rosenberg, Daniel Kofman, ...
96
Voted
USENIX
2004
15 years 2 months ago
C-JDBC: Flexible Database Clustering Middleware
Large web or e-commerce sites are frequently hosted on clusters. Successful open-source tools exist for clustering the front tiers of such sites (web servers and application serve...
Emmanuel Cecchet, Julie Marguerite, Willy Zwaenepo...
107
Voted
KDD
2007
ACM
220views Data Mining» more  KDD 2007»
16 years 1 months ago
SCAN: a structural clustering algorithm for networks
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
ALENEX
2008
142views Algorithms» more  ALENEX 2008»
15 years 2 months ago
Consensus Clustering Algorithms: Comparison and Refinement
Consensus clustering is the problem of reconciling clustering information about the same data set coming from different sources or from different runs of the same algorithm. Cast ...
Andrey Goder, Vladimir Filkov