Sciweavers

114 search results - page 1 / 23
» When do data mining results violate privacy
Sort
View
KDD
2004
ACM
137views Data Mining» more  KDD 2004»
14 years 5 months ago
When do data mining results violate privacy?
Privacy-preserving data mining has concentrated on obtaining valid results when the input data is private. An extreme example is Secure Multiparty Computation-based methods, where...
Murat Kantarcioglu, Jiashun Jin, Chris Clifton
DMKD
2003
ACM
151views Data Mining» more  DMKD 2003»
13 years 10 months ago
Assuring privacy when big brother is watching
Homeland security measures are increasing the amount of data collected, processed and mined. At the same time, owners of the data raised legitimate concern about their privacy and...
Murat Kantarcioglu, Chris Clifton
ICDE
2009
IEEE
132views Database» more  ICDE 2009»
14 years 6 months ago
Using Anonymized Data for Classification
In recent years, anonymization methods have emerged as an important tool to preserve individual privacy when releasing privacy sensitive data sets. This interest in anonymization t...
Ali Inan, Murat Kantarcioglu, Elisa Bertino
DMIN
2006
115views Data Mining» more  DMIN 2006»
13 years 6 months ago
Privacy Preserving in Clustering using Fuzzy Sets
Data mining techniques, in spite of their benefit in a wide range of applications have also raised threat to privacy and data security. This paper addresses the problem of preservi...
S. Srinivasa Rao 0002, K. V. S. V. N. Raju, P. Kus...
PAKDD
2007
ACM
181views Data Mining» more  PAKDD 2007»
13 years 11 months ago
Practical Issues on Privacy-Preserving Health Data Mining
Privacy-preserving data mining techniques could encourage health data custodians to provide accurate information for mining by ensuring that the data mining procedures and results ...
Huidong Jin