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» From Data Privacy to Location Privacy: Models and Algorithms
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CIS
2005
Springer
15 years 5 months ago
An Improved EMASK Algorithm for Privacy-Preserving Frequent Pattern Mining
Abstract. As a novel research direction, privacy-preserving data mining (PPDM) has received a great deal of attentions from more and more researchers, and a large number of PPDM al...
Congfu Xu, Jinlong Wang, Hongwei Dan, Yunhe Pan
KDD
2008
ACM
175views Data Mining» more  KDD 2008»
16 years 3 days ago
Geocode Matching and Privacy Preservation
Geocoding is the process of matching addresses to geographic locations, such as latitudes and longitudes, or local census areas. In many applications, addresses are the key to geo-...
Peter Christen
CASCON
2004
129views Education» more  CASCON 2004»
15 years 1 months ago
Building predictors from vertically distributed data
Due in part to the large volume of data available today, but more importantly to privacy concerns, data are often distributed across institutional, geographical and organizational...
Sabine M. McConnell, David B. Skillicorn
CIDM
2007
IEEE
15 years 6 months ago
Privacy Preserving Burst Detection of Distributed Time Series Data Using Linear Transforms
— In this paper, we consider burst detection within the context of privacy. In our scenario, multiple parties want to detect a burst in aggregated time series data, but none of t...
Lisa Singh, Mehmet Sayal
SIGMOD
2008
ACM
210views Database» more  SIGMOD 2008»
15 years 12 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...