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» Deriving Private Information from Randomized Data
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ICICS
2005
Springer
15 years 3 months ago
Private Itemset Support Counting
Private itemset support counting (PISC) is a basic building block of various privacy-preserving data mining algorithms. Briefly, in PISC, Client wants to know the support of her i...
Sven Laur, Helger Lipmaa, Taneli Mielikäinen
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
15 years 11 months ago
OptRR: Optimizing Randomized Response Schemes for Privacy-Preserving Data Mining
The randomized response (RR) technique is a promising technique to disguise private categorical data in Privacy-Preserving Data Mining (PPDM). Although a number of RR-based methods...
Zhengli Huang, Wenliang Du
BMCBI
2010
127views more  BMCBI 2010»
14 years 9 months ago
PeptideMine - A webserver for the design of peptides for protein-peptide binding studies derived from protein-protein interactom
Background: Signal transduction events often involve transient, yet specific, interactions between structurally conserved protein domains and polypeptide sequences in target prote...
Khader Shameer, Lalima L. Madan, Shivamurthy Veera...
CORR
2010
Springer
61views Education» more  CORR 2010»
14 years 9 months ago
Utility and Privacy of Data Sources: Can Shannon Help Conceal and Reveal Information?
Abstract-- The problem of private information "leakage" (inadvertently or by malicious design) from the myriad large centralized searchable data repositories drives the n...
Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poo...
VRML
2004
ACM
15 years 3 months ago
Automatic derivation of electronic maps from X3D/VRML worlds
Maps of physical environments and geographical areas are pervasively exploited in many human activities. Electronic maps of virtual worlds have been studied and proven to be usefu...
Lucio Ieronutti, Roberto Ranon, Luca Chittaro