Abstract
Now, the privacy preserving data mining has become an important research problem. The chief research purpose of it is to find data mining methods which can work well without opening the privacy data. The decision tree is an important method for classification, and has been studied in depth for privacy preserving data mining. There was on good summarize for privacy preserving decision tree algorithm. To solve this problem, this paper gave a survey on the current privacy preserving decision tree data mining techniques. It first introduced the background of privacy preserving decision tree data mining; then introduced the studying status of this subject and gave a summarize; finally, it pointed out some future research directions.
| Original language | English |
|---|---|
| Pages (from-to) | 204-212 |
| Number of pages | 9 |
| Journal | Tien Tzu Hsueh Pao/Acta Electronica Sinica |
| Volume | 38 |
| Issue number | 1 |
| State | Published - Jan 2010 |
| Externally published | Yes |
Keywords
- Data mining
- Decision tree
- Privacy preserving
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