数据缺失及其处理方法综述

本文首先系统梳理了数据缺失的概念、产生原因及机制;然后对数据缺失问题常见的处理方法进行综述,比较不同处理方法的优劣以及各自的适应范围;最后详细介绍了数据填充效果评价的常用方法.得出结论:根据不同数据集的特点选择合适的处理方法,才能取得良好的处理效果;指出了随着大数据时代的到来,精准高效的处理海量的数据是数据缺失处理未来的发展方向.

Data deletion and summary of its processing methods

In this paper, the concept, cause and mechanism of data loss are systematically combed out. Then, the methods of data deletion are summarized, and the advantages and disadvantages of different treatment methods and their respective adaptations are compared. In the end, the method of data filling effect evaluation is introduced in detail. Conclusion: according to the characteristics of different data sets, the proper treatment method can be obtained. It is pointed out that with the advent of the era of big data, the accurate and efficient processing of massive data is the future development direction of data deletion.