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SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
14 years 11 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
WWW
2009
ACM
15 years 10 months ago
Efficient application placement in a dynamic hosting platform
Web hosting providers are increasingly looking into dynamic hosting to reduce costs and improve the performance of their platforms. Instead of provisioning fixed resources to each...
Zakaria Al-Qudah, Hussein A. Alzoubi, Mark Allman,...
WWW
2010
ACM
15 years 5 months ago
Keyword extraction for social snippets
Today, a huge amount of text is being generated for social purposes on social networking services on the Web. Unlike traditional documents, such text is usually extremely short an...
Zhenhui Li, Ding Zhou, Yun-Fang Juan, Jiawei Han
IDEAS
2008
IEEE
96views Database» more  IDEAS 2008»
15 years 4 months ago
Robust aggregation in peer-to-peer database systems
Peer-to-peer database systems (P2PDBs) aim at providing database services with node autonomy, high availability and loose coupling between participating nodes by building the DBMS...
Norvald H. Ryeng, Kjetil Nørvåg
FOCI
2007
IEEE
15 years 4 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe