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» Approximate data mining in very large relational data
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CORR
2008
Springer
103views Education» more  CORR 2008»
15 years 1 months ago
Core Persistence in Peer-to-Peer Systems: Relating Size to Lifetime
Distributed systems are now both very large and highly dynamic. Peer to peer overlay networks have been proved efficient to cope with this new deal that traditional approaches can ...
Vincent Gramoli, Anne-Marie Kermarrec, Achour Most...
PAMI
2010
119views more  PAMI 2010»
15 years 2 days ago
Efficient Multilevel Eigensolvers with Applications to Data Analysis Tasks
—Multigrid solvers proved very efficient for solving massive systems of equations in various fields. These solvers are based on iterative relaxation schemes together with the app...
Dan Kushnir, Meirav Galun, Achi Brandt
GPEM
2007
119views more  GPEM 2007»
15 years 1 months ago
Genomic mining for complex disease traits with "random chemistry"
Our rapidly growing knowledge regarding genetic variation in the human genome offers great potential for understanding the genetic etiology of disease. This, in turn, could revolut...
Margaret J. Eppstein, Joshua L. Payne, Bill C. Whi...
VLDB
2006
ACM
190views Database» more  VLDB 2006»
16 years 1 months ago
Online summarization of dynamic time series data
Managing large-scale time series databases has attracted significant attention in the database community recently. Related fundamental problems such as dimensionality reduction, tr...
Ümit Y. Ogras, Hakan Ferhatosmanoglu
BNCOD
2003
127views Database» more  BNCOD 2003»
15 years 3 months ago
Performance Evaluation and Analysis of K-Way Join Variants for Association Rule Mining
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
P. Mishra, Sharma Chakravarthy