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» Workshop on massive datasets
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KDD
2004
ACM
131views Data Mining» more  KDD 2004»
14 years 7 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...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 9 months ago
Searching and mining trillions of time series subsequences under dynamic time warping
Most time series data mining algorithms use similarity search as a core subroutine, and thus the time taken for similarity search is the bottleneck for virtually all time series d...
Thanawin Rakthanmanon, Bilson J. L. Campana, Abdul...
ICDE
2011
IEEE
245views Database» more  ICDE 2011»
12 years 11 months ago
Distributed cube materialization on holistic measures
—Cube computation over massive datasets is critical for many important analyses done in the real world. Unlike commonly studied algebraic measures such as SUM that are amenable t...
Arnab Nandi, Cong Yu, Philip Bohannon, Raghu Ramak...
3DIM
2011
IEEE
12 years 7 months ago
Finding the Best Feature Detector-Descriptor Combination
Addressing the image correspondence problem by feature matching is a central part of computer vision and 3D inference from images. Consequently, there is a substantial amount of w...
Anders Lindbjerg Dahl, Henrik Aanæs, Kim Ste...
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
14 years 27 days ago
Mining closed relational graphs with connectivity constraints
Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identif...
Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han