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214
Voted
KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 7 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
242
Voted
KDD
2005
ACM
218views Data Mining» more  KDD 2005»
16 years 7 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
COCOON
2010
Springer
16 years 2 days ago
Clustering with or without the Approximation
We study algorithms for clustering data that were recently proposed by Balcan, Blum and Gupta in SODA’09 [4] and that have already given rise to two follow-up papers. The input f...
Frans Schalekamp, Michael Yu, Anke van Zuylen
HPDC
2000
IEEE
15 years 11 months ago
Creating Large Scale Database Servers
The BaBar experiment at the Stanford Linear Accelerator Center (SLAC) is designed to perform a high precision investigation of the decays of the B-meson produced from electron-pos...
Jacek Becla, Andrew Hanushevsky
MSS
2000
IEEE
182views Hardware» more  MSS 2000»
15 years 11 months ago
A Blueprint for Representation Information in the OAIS Model
The CEDARS∗ project within UK academia seeks to develop a demonstrator system to recommend techniques for long-term storage of digital data primarily within the research library...
David Holdsworth, Derek M. Sergeant