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» Privacy in Data Mining Using Formal Methods
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BMCBI
2005
251views more  BMCBI 2005»
15 years 6 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
ICMLA
2008
15 years 8 months ago
Graph-Based Multilevel Dimensionality Reduction with Applications to Eigenfaces and Latent Semantic Indexing
Dimension reduction techniques have been successfully applied to face recognition and text information retrieval. The process can be time-consuming when the data set is large. Thi...
Sophia Sakellaridi, Haw-ren Fang, Yousef Saad
WAIM
2007
Springer
16 years 23 days ago
Distributed, Hierarchical Clustering and Summarization in Sensor Networks
We propose DHCS, a method of distributed, hierarchical clustering and summarization for online data analysis and mining in sensor networks. Different from the acquisition and aggre...
Xiuli Ma, Shuangfeng Li, Qiong Luo, Dongqing Yang,...
CCS
2003
ACM
15 years 12 months ago
Origin authentication in interdomain routing
Attacks against Internet routing are increasing in number and severity. Contributing greatly to these attacks is the absence of origin authentication: there is no way to validate ...
William Aiello, John Ioannidis, Patrick Drew McDan...
BNCOD
2008
88views Database» more  BNCOD 2008»
15 years 8 months ago
An Empirical Study of Utility Measures for k-Anonymisation
Abstract. k-Anonymisation is a technique for masking microdata in order to prevent individual identification. Besides preserving privacy, data anonymised by such a method must also...
Grigorios Loukides, Jianhua Shao