在压缩数据库中利用查询处理的特点构建自适应直方图以便于查询优化或近似回答查询是尚待解决的问题。
It is an unsolved problem using batched queries in compressed databases to construct an adaptive histogram to optimize query processing or answer queries approximately.
文章介绍了一种改进的敏感性问题随机化回答模型，并把贝叶斯方法用于该模型的参数估计，最后得出了参数的近似解。
This paper introduces an advanced random response model in sensitive question, and uses Bayesian methods in valuing the parameter, and finally obtains the parameter approximation.
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