Name
Title | ||
|---|---|---|
Utility-preserving sanitization of semantically correlated terms in textual documents. |
Abstract | ||
|---|---|---|
•A general framework to measure the disclosure risk in document sanitization/redaction is presented.•Notions of the Information Theory are exploited to detect and sanitize risky correlated terms.•Special efforts are put in preserving the utility of the sanitized output.•A practical implementation of the theoretical method is detailed.•The evaluation shows an improvement of data utility in comparison with the previous work while retaining a similar accuracy. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.ins.2014.03.103 | Information Sciences |
Keywords | Field | DocType |
Data privacy,Document redaction,Document sanitization,Information theory | Information theory,Redaction,Information retrieval,Computer science,Generalization,Declassification,Information privacy,Semantics | Journal |
Volume | ISSN | Citations |
279 | 0020-0255 | 11 |
PageRank | References | Authors |
0.58 | 27 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Sánchez | 1 | 395 | 32.93 |
| Montserrat Batet | 2 | 899 | 37.20 |
| Alexandre Viejo | 3 | 352 | 25.61 |