| 论文题目 | Decision Rules Mining with Rough Set |
| 作者 | 王海涛,赵静,吴刚,赵超,张帆,曹馨宇 |
| 年度 | 2018 |
| 发表/出版时间 | 2018/6/29 |
| 发表期刊/会议 | Advances in Intelligent Systems and Computing |
| 关键词 | Rough set Decision rule Semi-honesty Entropy Commutative encryption |
| 摘要 | Decision rule has been widely used for its briefness, effectiveness and favorite understandability. Many methods aiming at mining decision rules have been developed. Rough set theory. Unfortunately, data is split between multiple parties in many cases. And privacy concerns may prevent these parties from directly sharing the data. This paper addresses the problem of how to securely mine decision rules over horizontally partitioned data with rough set approach. This paper integrates a general framework rather than a very specific solution for mining decision rules with rough set approach when privacy is concerned and data is horizontally partitioned. |