Name
Title | ||
|---|---|---|
On the Reconstruction Method For Negative Surveys with Application to Education Surveys. |
Abstract | ||
|---|---|---|
Negative surveys, as a novel way of collecting sensitive information, have wide applicability because of their simple operation and capability to preserve privacy. However, existing methods for estimating positive survey results from negative survey results have disadvantages. Some methods might return negative values (i.e., the values less than 0) or some methods have high computational complexit... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TETCI.2017.2721440 | IEEE Transactions on Emerging Topics in Computational Intelligence |
Keywords | DocType | Volume |
Linear programming,Education,Mathematical model,Privacy,Computational intelligence,Reconstruction algorithms,Data privacy | Journal | 1 |
Issue | Citations | PageRank |
4 | 1 | 0.38 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| hao jiang | 1 | 59 | 17.96 |
| Wenjian Luo | 2 | 356 | 40.95 |
| Li Ni | 3 | 9 | 2.64 |
| Bei Hua | 4 | 146 | 17.17 |