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» Using Anonymized Data for Classification
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117
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ICDIM
2010
IEEE
14 years 9 months ago
Detecting incompleteness in access control policies using data classification schemes
In a set of access control policies, incompleteness is the existence of situations for which no policy applies. Some of these situations can be exploited by attackers, to obtain un...
Riaz Ahmed Shaikh, Kamel Adi, Luigi Logrippo, Serg...
100
Voted
ICPR
2008
IEEE
16 years 1 months ago
Fuzzy rule selection using Iterative Rule Learning for speech data classification
Fuzzy rule base systems have been successfully used for pattern classification. These systems focus on generating a rule-base from numerical input data. The resulting rule-base ca...
Bin Ma, Chng Eng Siong, Haizhou Li, Omid Dehzangi
96
Voted
CORR
2010
Springer
215views Education» more  CORR 2010»
15 years 16 days ago
Text Classification using the Concept of Association Rule of Data Mining
As the amount of online text increases, the demand for text classification to aid the analysis and management of text is increasing. Text is cheap, but information, in the form of...
Chowdhury Mofizur Rahman, Ferdous Ahmed Sohel, Par...
CCS
2008
ACM
15 years 2 months ago
Efficient attributes for anonymous credentials
We extend the Camenisch-Lysyanskaya anonymous credential system such that selective disclosure of attributes becomes highly efficient. The resulting system significantly improves ...
Jan Camenisch, Thomas Groß
3DPVT
2006
IEEE
197views Visualization» more  3DPVT 2006»
15 years 4 months ago
Aerial LiDAR Data Classification Using Support Vector Machines (SVM)
We classify 3D aerial LiDAR scattered height data into buildings, trees, roads, and grass using the Support Vector Machine (SVM) algorithm. To do so we use five features: height, ...
Suresh K. Lodha, Edward J. Kreps, David P. Helmbol...