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» Randomization in Privacy-Preserving Data Mining
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125
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KAIS
2008
221views more  KAIS 2008»
15 years 9 days ago
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Kun Zhang, Wei Fan
SDM
2010
SIAM
202views Data Mining» more  SDM 2010»
14 years 10 months ago
Multiresolution Motif Discovery in Time Series
Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed t...
Nuno Castro, Paulo J. Azevedo
123
Voted
AICCSA
2008
IEEE
276views Hardware» more  AICCSA 2008»
15 years 2 months ago
Effects of dimensionality reduction techniques on time series similarity measurements
Time Series are ubiquitous, hence, similarity search is one of the biggest challenges in the area of mining time series data. This is due to the vast data size, number of sequence...
Ghazi Al-Naymat, Javid Taheri
SJ
2010
158views more  SJ 2010»
14 years 7 months ago
Efficient Utilization of Renewable Energy Sources by Gridable Vehicles in Cyber-Physical Energy Systems
The main sources of emission today are from the electric power and transportation sectors. One of the main goals of a cyber-physical energy system (CPES) is the integration of rene...
A. Y. Saber, Ganesh K. Venayagamoorthy
99
Voted
KDD
2004
ACM
131views Data Mining» more  KDD 2004»
16 years 23 days 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...