K−means clustering microaggregation for statistical disclosure control
Paper
Paper/Presentation Title | K−means clustering microaggregation for statistical disclosure control |
---|---|
Presentation Type | Paper |
Authors | Kabir, Md Enamul (Author), Mahmood, Abdur Naser (Author) and Mustafa, Abdul K. (Author) |
Journal or Proceedings Title | Proceedings of the 2012 International Conference on Advances in Computing (ICADC 2012) |
Number of Pages | 7 |
Year | 2012 |
ISBN | 9788132207399 |
9788132207405 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-81-322-0740-5_135 |
Web Address (URL) of Paper | http://link.springer.com/chapter/10.1007%2F978-81-322-0740-5_135 |
Conference/Event | 2012 International Conference on Advances in Computing (ICADC 2012) |
Event Details | 2012 International Conference on Advances in Computing (ICADC 2012) Event Date 04 to end of 06 Jul 2012 Event Location Bangalore |
Abstract | This paper presents a K-means clustering technique that satisfies the bi-objective function to minimize the information loss and maintain k-anonymity. The |
Keywords | K−means clustering, microaggregation, tatistical disclosure control |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Institution of Origin | University of Southern Queensland |
Byline Affiliations | University of New South Wales |
University of Canberra |
https://research.usq.edu.au/item/q2xyy/k-means-clustering-microaggregation-for-statistical-disclosure-control
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