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» Computing LTS Regression for Large Data Sets
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KDD
2008
ACM
243views Data Mining» more  KDD 2008»
16 years 6 months ago
Permu-pattern: discovery of mutable permutation patterns with proximity constraint
Pattern discovery in sequences is an important problem in many applications, especially in computational biology and text mining. However, due to the noisy nature of data, the tra...
Meng Hu, Jiong Yang, Wei Su
IV
2009
IEEE
141views Visualization» more  IV 2009»
16 years 29 days ago
VioNeS - Visual Support for the Analysis of the Next Sub-volume Method
Computational simulation is an established method to gain insight into cellular processes. As the resulting data sets are usually large and complex, visualization can play a signi...
Andrea Unger, Enrico Gutzeit, Matthias Jeschke, He...
PKDD
2009
Springer
153views Data Mining» more  PKDD 2009»
16 years 26 days ago
Subspace Regularization: A New Semi-supervised Learning Method
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-L...
ICDM
2007
IEEE
137views Data Mining» more  ICDM 2007»
16 years 20 days ago
Locally Constrained Support Vector Clustering
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
Dragomir Yankov, Eamonn J. Keogh, Kin Fai Kan
ASPDAC
2006
ACM
109views Hardware» more  ASPDAC 2006»
16 years 9 days ago
Energy savings through embedded processing on disk system
Abstract— Many of today’s data-intensive applications manipulate disk-resident data sets. As a result, their overall behavior is tightly coupled with their disk performance. Un...
Seung Woo Son, Guangyu Chen, Mahmut T. Kandemir, F...