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» Using Anonymized Data for Classification
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GFKL
2007
Springer
163views Data Mining» more  GFKL 2007»
15 years 7 months ago
Fast Support Vector Machine Classification of Very Large Datasets
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
Janis Fehr, Karina Zapien Arreola, Hans Burkhardt
MMMACNS
2005
Springer
15 years 9 months ago
A Passive External Web Surveillance Technique for Private Networks
The variety and richness of what users browse on the Internet has made the communications of web-browsing hosts an attractive target for surveillance. We show that passive external...
Constantine Daicos, Scott Knight
133
Voted
DMIN
2009
222views Data Mining» more  DMIN 2009»
15 years 1 months ago
P-Sensitive K-Anonymity for Social Networks
-- The proliferation of social networks, where individuals share private information, has caused, in the last few years, a growth in the volume of sensitive data being stored in th...
Roy Ford, Traian Marius Truta, Alina Campan
123
Voted
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
15 years 7 months ago
A Characterization of Wordnet Features in Boolean Models For Text Classification
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
Trevor N. Mansuy, Robert J. Hilderman
CVPR
2004
IEEE
16 years 5 months ago
Improving Object Classification in Far-Field Video
Object classification in far-field video sequences is a challenging problem because of low resolution imagery and projective image distortion. Most existing far-field classificati...
Biswajit Bose, W. Eric L. Grimson