Name
Abstract | ||
|---|---|---|
•A data preprocessing algorithm for the anatomization scheme has been proposed.•The algorithm guarantees good generalization for support vector classification.•It picks group wise sensitive attribute values that could give good classification.•It also preserves ℓ-diversity and outperforms the benchmark for k-anonymity.•Theory and algorithm have been validated on public datasets using t-test.
|
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cose.2017.12.010 | Computers & Security |
Keywords | Field | DocType |
Privacy,ℓ-diversity,Machine learning,Data mining,Anatomization | Training set,Computer science,Computer security,Support vector machine,Theoretical Effectiveness,Support vector classifier,Artificial intelligence,Machine learning,Limiting | Journal |
Volume | ISSN | Citations |
77 | 0167-4048 | 0 |
PageRank | References | Authors |
0.34 | 21 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Koray Mancuhan | 1 | 14 | 3.02 |
| Chris Clifton | 2 | 3327 | 544.44 |