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» Novel Algorithms for Privacy Preserving Utility Mining
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SGAI
2007
Springer
14 years 1 months ago
Frequent Set Meta Mining: Towards Multi-Agent Data Mining
In this paper we describe the concept of Meta ARM in the context of its objectives and challenges and go on to describe and analyse a number of potential solutions. Meta ARM is de...
Kamal Ali Albashiri, Frans Coenen, Robert Sanderso...
CIKM
2005
Springer
14 years 27 days ago
Privacy leakage in multi-relational databases via pattern based semi-supervised learning
In multi-relational databases, a view, which is a context- and content-dependent subset of one or more tables (or other views), is often used to preserve privacy by hiding sensiti...
Hui Xiong, Michael Steinbach, Vipin Kumar
DASFAA
2011
IEEE
341views Database» more  DASFAA 2011»
13 years 5 months ago
Utility-Oriented K-Anonymization on Social Networks
\Identity disclosure" problem on publishing social network data has gained intensive focus from academia. Existing k-anonymization algorithms on social network may result in n...
Yazhe WANG, Long XIE, Baihua ZHENG, and Ken C. K. ...
SIGMOD
2008
ACM
210views Database» more  SIGMOD 2008»
14 years 7 months ago
Private queries in location based services: anonymizers are not necessary
Mobile devices equipped with positioning capabilities (e.g., GPS) can ask location-dependent queries to Location Based Services (LBS). To protect privacy, the user location must n...
Gabriel Ghinita, Panos Kalnis, Ali Khoshgozaran, C...
PVLDB
2011
13 years 2 months ago
Personalized Social Recommendations - Accurate or Private?
With the recent surge of social networks such as Facebook, new forms of recommendations have become possible – recommendations that rely on one’s social connections in order t...
Ashwin Machanavajjhala, Aleksandra Korolova, Atish...