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» Deriving Private Information from Randomized Data
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KDD
2007
ACM
160views Data Mining» more  KDD 2007»
15 years 10 months ago
Show me the money!: deriving the pricing power of product features by mining consumer reviews
The increasing pervasiveness of the Internet has dramatically changed the way that consumers shop for goods. Consumergenerated product reviews have become a valuable source of inf...
Nikolay Archak, Anindya Ghose, Panagiotis G. Ipeir...
VL
1999
IEEE
115views Visual Languages» more  VL 1999»
15 years 2 months ago
Derivative Meaning in Graphical Representations
This paper reports on the phenomenon that may be called "derivative meaning," where the basic semantic conventions for certain graphical representation systems give rise...
Atsushi Shimojima
EDBT
2010
ACM
181views Database» more  EDBT 2010»
14 years 8 months ago
Private record matching using differential privacy
Private matching between datasets owned by distinct parties is a challenging problem with several applications. Private matching allows two parties to identify the records that ar...
Ali Inan, Murat Kantarcioglu, Gabriel Ghinita, Eli...
PET
2010
Springer
15 years 1 months ago
Privacy-Preserving Queries over Relational Databases
We explore how Private Information Retrieval (PIR) can help users keep their sensitive information from being leaked in an SQL query. We show how to retrieve data from a relational...
Femi G. Olumofin, Ian Goldberg
JCP
2007
154views more  JCP 2007»
14 years 9 months ago
Introducing Virtual Private Overlay Network Services in Large Scale Grid Infrastructures
—The computational Grid concept is gaining great popularity as the best way to deliver access to a wide range of distributed computing and data resources. But, as Grids move from...
Francesco Palmieri