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» From Data Privacy to Location Privacy: Models and Algorithms
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KDD
2008
ACM
163views Data Mining» more  KDD 2008»
16 years 6 months ago
The cost of privacy: destruction of data-mining utility in anonymized data publishing
Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "qu...
Justin Brickell, Vitaly Shmatikov
DMIN
2009
180views Data Mining» more  DMIN 2009»
15 years 3 months ago
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are...
Jimmy Secretan, Anna Koufakou, Michael Georgiopoul...
ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
15 years 11 months ago
Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation
In order to generate synthetic basket data sets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket data ...
Yongge Wang, Xintao Wu
SASN
2004
ACM
15 years 11 months ago
Source-location privacy in energy-constrained sensor network routing
As sensor-driven applications become increasingly integrated into our lives, issues related to sensor privacy will become increasingly important. Although many privacy-related iss...
Celal Ozturk, Yanyong Zhang, Wade Trappe
ISDA
2008
IEEE
16 years 11 days ago
Novel Algorithms for Privacy Preserving Utility Mining
Privacy Preserving Data Mining (PPDM) has become a popular topic in the research community. How to strike a balance between privacy protection and knowledge discovery in the shari...
Jieh-Shan Yeh, Po-Chiang Hsu, Ming-Hsun Wen