数据挖掘技术在民生领域中的应用

The Big Data Application for Livelihood Areas

近年来,科学研究、电子商务、民生保障等诸多互联网应用领域飞速发展,数据规模、数据种类正在以极快的速度增长,大数据时代已悄然来临。如何管理好、利用好、分析好这些海量数据来促进相关领域的发展,是我们当下需要亟待思索的问题。但由于行业壁垒的局限性、数据挖掘不够、数据"孤岛"、数据鸿沟等制约着大数据支撑解决民生领域问题能力的提升。因此,需要我们打破行业壁垒、突破数据"孤岛"现象、不断的探索新的数据挖掘技术,从而提高大数据支撑解决民生领域问题的能力。概述了数据挖掘技术发展现状,介绍了数据挖掘的一般过程及方法论,结合实际,以数据挖掘在养老服务领域中的应用为例,对数据挖掘应用解决扶贫帮困、救助保障、养老服务、基层治理等民生问题进行简要阐述。

In recent years, the application of the Internet technology develops rapidly in scientific research, e-commerce, livelihood security and many other fields. Data size, data types are growing with a rapid rate, big data era has quietly come. How to manage and make good use of these massive data to promote the development of related fields, is the problem we need to think about now. However, due to the limitations of industry barriers, data mining is not enough, the data island, data gap and other constraints do not support large data to solve the problem of improving the people＇s livelihood. Therefore, we need to break the barriers, break the data island phenomenon, and constantly explore new data mining technology, so as to improve the abili- ty of solving the problem of people＇s livelihood by uzing big data. This paper summarizes the current situation of data mining technoloies, introduces the general process and methodology of data mining. According to actual application of data mining in the pension service, the author discusses the application of data mining to solve the poverty relief, rescue protection, pension services, grassroots governance and other livelihood issues.