載入...
Reducing Side Effects of Hiding Sensitive Itemsets in Privacy Preserving Data Mining
Data mining is traditionally adopted to retrieve and analyze knowledge from large amounts of data. Private or confidential data may be sanitized or suppressed before it is shared or published in public. Privacy preserving data mining (PPDM) has thus become an important issue in recent years. The mos...
Na minha lista:
| Main Authors: | , , |
|---|---|
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Hindawi Publishing Corporation
2014
|
| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4005146/ https://ncbi.nlm.nih.gov/pubmed/24982932 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/235837 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|