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» Feature Extraction for Massive Data Mining
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APBC
2003
120views Bioinformatics» more  APBC 2003»
15 years 5 months ago
From Informatics to Bioinformatics
Informatics has helped in launching molecular biology into the genomic era. It appears certain that informatics will continue to be a major factor in the success of molecular biol...
Vladimir B. Bajic, Vladimir Brusic, Jinyan Li, See...
ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
15 years 2 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...
CIKM
2008
Springer
15 years 6 months ago
Information shared by many objects
If Kolmogorov complexity [25] measures information in one object and Information Distance [4, 23, 24, 42] measures information shared by two objects, how do we measure information...
Chong Long, Xiaoyan Zhu, Ming Li, Bin Ma
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
15 years 9 months ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma
KDD
2004
ACM
131views Data Mining» more  KDD 2004»
16 years 4 months ago
Fast nonlinear regression via eigenimages applied to galactic morphology
Astronomy increasingly faces the issue of massive datasets. For instance, the Sloan Digital Sky Survey (SDSS) has so far generated tens of millions of images of distant galaxies, ...
Brigham Anderson, Andrew W. Moore, Andrew Connolly...