Research Article
[Retracted] Anonymization of Quasi-Sensitive Attribute Sets in Aggregated Dataset
Algorithm 1
The Greedy QS k-anonymity Algorithm.
| Input:, | | Output: a set of clusters in each of which the size of Cartesian product of attributes in and is greater than or equal to | (1) | , | (2) | ifthen | (3) | return | (4) | end if | (5) | is a randomly selected record in | (6) | whiledo | (7) | the furthest record from | (8) | | (9) | | (10) | whiledo | (11) | | (12) | | (13) | | (14) | end while | (15) | | (16) | ifthen | (17) | whiledo | (18) | = a random tuple in | (19) | | (20) | | (21) | | (22) | end while | (23) | end if | (24) | end while | (25) | return |
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