OHSUMED: an interactive retrieval evaluation and new large test collection for research
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
WordNet: a lexical database for English
Communications of the ACM
Privacy-preserving anonymization of set-valued data
Proceedings of the VLDB Endowment
t-Plausibility: Semantic Preserving Text Sanitization
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 03
t-Plausibility: Generalizing Words to Desensitize Text
Transactions on Data Privacy
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Sharing data provides great benefit to the research community. But disclosing identifiable, sensitive information such as medical records can cause irreparable damage. A number of methods have been proposed to anon Mize sensitive information. With some approaches, term relationships in the data may help to re-identify the original data given the de-identified data. This papers studies the significance of correlation in data and then analyzes the effect on anonymization techniques including t-plausibility and k-manonymity. Finally, we show how to address correlation in thet-plausibility model.