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CORR
2004
Springer
112views Education» more  CORR 2004»
15 years 6 months ago
Swarms on Continuous Data
While being it extremely important, many Exploratory Data Analysis (EDA [21]) systems have the inhability to perform classification and visualization in a continuous basis or to se...
Vitorino Ramos, Ajith Abraham
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
16 years 1 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
13 years 8 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
NAR
2011
256views Computer Vision» more  NAR 2011»
14 years 9 months ago
COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer
COSMIC (http://www.sanger.ac.uk/cosmic) curates comprehensive information on somatic mutations in human cancer. Release v48 (July 2010) describes over 136 000 coding mutations in ...
Simon A. Forbes, Nidhi Bindal, Sally Bamford, Char...
PODS
2008
ACM
159views Database» more  PODS 2008»
16 years 6 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor