文件名称：A survey of Uncertain Data Algorithms and Applications
文件大小：641KB
文件格式：PDF
更新时间：2015-11-17 02:22:31
Uncertain Data Algorithms
I introduction Some examples in which uncertain data management techniques are relevant are as follows: the uncertainty may be a result of the limitation of the underlying equipment. Such as sensor network, noise In many cases such as demographic(人口) data sets, only partially aggregated data sets are available because of privacy concerns. Thus each aggregate record can be represented by a probability distribution. In some cases, data attributes are constructed using statistical method such as forecasting. In such case , the underlying uncertainty in the derived data can be estimated accurately from the underlying methodology.