Utility-based k-anonymization
Qingming Tang, Yinjie Wu, Shangbin Liao, Xiaodong Wang · Networked Computing and Advanced Information Management · 2010
k-Anonymity is a well-researched mechanism for protecting private information released in Web. It requires that each tuple of a public released table must be indistinguishable from at least other k-1 tuples. Subject to this constraint, how to release data as useful as possible is challenge. Most previous works try to develop flexible anonymization method to reduce information loss, however, utility of released data is ignored.