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SYSTEM AND METHOD FOR ACHIEVING DATA ASSET SENSING AND PRICING FUNCTIONS IN BIG DATA BACKGROUND

机译:大数据背景下实现数据资产感知和定价功能的系统和方法

摘要

A system for achieving data asset sensing and pricing functions in a big data background, and a method for achieving, on the basis of the system, data asset sensing and pricing in a big data background. The system comprises: a data initialization module, a data value element and range configuration module, a data value sensing module, and a data value evaluation module. The method comprises: giving a unique identification in the whole data pricing system to data to be priced; abstracting a data value element according to different data attributes, segmenting different elements, and defining the attribute value range; sensing the use situation of data and data value element information in real time; and calculating, according to the use situation of data and the value element information, the evaluated data value in real time. According to the system and the method therefor, flexibly configuration and segmentation management of data value elements are achieved, the unlimited expansion of bottom elements is achieved, and the data value is calculated more accurately, thereby solving the problem of being difficult to price data assets, and being unreasonable and inaccurate to price in the big data background.
机译:一种在大数据背景下实现数据资产感知和定价功能的系统,以及一种基于该系统在大数据背景下实现数据资产感知和定价的方法。该系统包括:数据初始化模块,数据值元素和范围配置模块,数据值感测模块和数据值评估模块。该方法包括:在整个数据定价系统中对要定价的数据进行唯一标识;根据不同的数据属性抽象数据值元素,分割不同的元素,定义属性值范围;实时感知数据和数据价值要素信息的使用情况;根据数据的使用情况和价值要素信息,实时计算评估后的数据值。根据本发明的系统和方法,实现了数据值元素的灵活配置和分段管理,实现了底层元素的无限扩展,数据值的计算更加准确,解决了难以对数据资产进行定价的问题。 ,并且在大数据背景下定价不合理和不准确。

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