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Anonymization of Set-Valued Data via Top-Down, Local Generalization

Summary: Top-down, partition-based anonymization for set-valued data, addressing multi-valued records where single-value models fail. Linear-time scalability and a strong information-loss metric; enables practical anonymization of AOL query logs and related data releases. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9907
Venue
VLDB
Year
2009
Pagerank
6.1076171e-05
Overall Rank
4,527 | 68.54%
DOI
-

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