2024-03-29T12:05:54Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1608702019-03-14T10:27:56Zcom_10261_60com_10261_4col_10261_313
00925njm 22002777a 4500
dc
Torra, Vicenç
author
2004
Microaggregation is a masking procedure used for protecting confidential data prior to their public release. This technique, that relies on clustering and aggregation techniques, is solely used for numerical data. In this work we introduce a microaggregation procedure for categorical variables. We describe the new masking method and we analyse the results it obtains according to some indices found in the literature. The method is compared with Top and Bottom Coding, Global recoding, Rank Swapping and PRAM. © Springer-Verlag 2004.
Lecture Notes in Computer Science 3050: 162- 174 (2004)
0302-9743
http://hdl.handle.net/10261/160870
10.1007/978-3-540-25955-8_13
Categorical data
Microaggregation
Clustering
Masking methods
Data protection
Privacy preserving data mining
Microaggregation for categorical variables: A median based approach