Name
Abstract | ||
|---|---|---|
•A utility preserving query log anonymization method is presented.•Data semantics are considering during the whole anonymization process.•The MDAV microaggregation method is adapted to support textual set-valued data.•An evaluation using query logs from AOL and ODP as knowledge base has been performed.•Results show that our approach preserves query logs utility better than related works. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.ins.2013.04.020 | Information Sciences |
Keywords | Field | DocType |
Privacy-preservation,Query logs,Data utility,Semantics,Microaggregation | Semantic similarity,Query optimization,Data mining,Web search query,Query language,Query expansion,Computer science,Sargable,Web query classification,Semantics | Journal |
Volume | ISSN | Citations |
242 | 0020-0255 | 19 |
PageRank | References | Authors |
0.62 | 38 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Montserrat Batet | 1 | 899 | 37.20 |
| Arnau Erola | 2 | 87 | 8.22 |
| David Sánchez | 3 | 395 | 32.93 |
| Jordi Castellà-Roca | 4 | 154 | 18.81 |