生成熵 [
shēng chéng shāng]
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formation entropy
- 基于组桶的数据存储是数据库服务提供者模型下对数据进行加密存储的一种方式,论文采用熵来度量这种存储方式下的数据安全性,针对区间这类特殊的组桶,提出了一个算法生成具有较大熵值的区间集,并比较了所生成的区间集在不同查询行为下的查询误中情况。
Bucket-based storage method is applied to store encrypted data in Database-As-a-Service models.The entropy can be used to measure the secrecy of sensitive data on bucket sets.This paper proposes a method of constructing intervals with larger entropy.We also compare the different rates of false hits on two range query behaviors. - 研究了一个属性的某几个属性值并的权熵之和与该属性单个属性值的权熵之和的关系.通过构建模型,从理论上证明了以信息熵作为度量标准,ID3算法是最优的,生成的树是最小的,产生的规则数是最少的.
The relations between the sum of the weighed entropy of the union of several attribute value and the sum of the weighed entropy of the single attribute value are investigated.By constructing model,it is concluded that the ID3 algorithm is an optimal one in decision tree,which can generate smallest tree and least rules according to information entropy.
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