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» Anonymization by Local Recoding in Data with Attribute Hiera...
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TKDE
2008
119views more  TKDE 2008»
13 years 4 months ago
Anonymization by Local Recoding in Data with Attribute Hierarchical Taxonomies
Abstract--Individual privacy will be at risk if a published data set is not properly deidentified. k-Anonymity is a major technique to deidentify a data set. Among a number of k-an...
Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu...
KDD
2006
ACM
132views Data Mining» more  KDD 2006»
14 years 5 months ago
Utility-based anonymization using local recoding
Privacy becomes a more and more serious concern in applications involving microdata. Recently, efficient anonymization has attracted much research work. Most of the previous metho...
Jian Xu, Wei Wang 0009, Jian Pei, Xiaoyuan Wang, B...
DAWAK
2006
Springer
13 years 8 months ago
Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures
Abstract. Individual privacy will be at risk if a published data set is not properly de-identified. k-anonymity is a major technique to de-identify a data set. A more general view ...
Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu...
SIGMOD
2008
ACM
113views Database» more  SIGMOD 2008»
13 years 4 months ago
Supporting OLAP operations over imperfectly integrated taxonomies
OLAP is an important tool in decision support. With the help of domain knowledge, such as hierarchies of attribute values, OLAP helps the user observe the effects of various decis...
Yan Qi 0002, K. Selçuk Candan, Jun'ichi Tat...