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DMIN
2009
180views Data Mining» more  DMIN 2009»
14 years 7 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...
ISCI
2007
99views more  ISCI 2007»
14 years 9 months ago
Privacy-preserving algorithms for distributed mining of frequent itemsets
Standard algorithms for association rule mining are based on identification of frequent itemsets. In this paper, we study how to maintain privacy in distributed mining of frequen...
Sheng Zhong
KDD
2003
ACM
210views Data Mining» more  KDD 2003»
15 years 10 months ago
Privacy-preserving k-means clustering over vertically partitioned data
Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key ...
Jaideep Vaidya, Chris Clifton
DBSEC
2009
112views Database» more  DBSEC 2009»
14 years 10 months ago
Distributed Anonymization: Achieving Privacy for Both Data Subjects and Data Providers
There is an increasing need for sharing data repositories containing personal information across multiple distributed and private databases. However, such data sharing is subject t...
Pawel Jurczyk, Li Xiong
170
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ICDE
2007
IEEE
165views Database» more  ICDE 2007»
15 years 11 months ago
Distance Based Subspace Clustering with Flexible Dimension Partitioning
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...
Guimei Liu, Jinyan Li, Kelvin Sim, Limsoon Wong