Patent Document ID: 20140189858
Application ID: 13728684
Patent Status: 0

Claim One:
1. An anonymous dataset generation method, comprising: acquiring a critical attribute set and a quasi-identifier set, wherein the critical attribute set comprises at least one critical attribute, the quasi-identifier set comprises a plurality of quasi-identifiers, and one of the at least one critical attribute or one of the quasi-identifiers is set as an anchor attribute; generating an equivalence table according to the quasi-identifier set, the critical attribute set and an original dataset, wherein the equivalence table comprises a plurality of equivalence classes, each of the equivalence classes comprises at least one equivalence data, and each equivalence data comprises a plurality of original values corresponding to the quasi-identifiers respectively; generating a plurality of data clusters of a cluster table sequentially according to the equivalence table, wherein each of the data clusters comprises at least one of the equivalence classes; and generalizing content of the cluster table to generate and output an anonymous dataset corresponding to the original dataset, wherein the original values corresponding to the anchor attribute are maintained originally in the anonymous dataset.