【文章摘录】

近年来，我国社会保障体系建设取得了长足进展，特别是2015年全面建立的全国社会保障公共服务平台，极大地方便了人民群众的社保查询、查询个人缴费情况及业务办理等。然而，随着社会保障数据的不断增长、信息化和网络化的加速推进，全国社保公共服务平台也迎来了数据“资源化”和“精细化”两个新的挑战。如何科学地利用全国社会保障公共服务平台的数据资源，开展保障政策决策、评估与监督，对于深化社会保障改革、推进“互联网+政务服务”、构建“数字中国”、提高网上服务能力和保障水平，都具有重要的现实意义。

为此，我国政府提出构建“大数据+社会保障”发展格局，建立社会保障大数据中心，用大数据的手段，探索社保相关经济和社会问题的规律和模式，为社保决策提供科学依据。然而，由于社保信息的数据来源较为分散、数据标准不统一、数据共享机制不够完善和数据分析基础相对薄弱，如何进行大数据分析和有效利用，成为当前亟待解决的技术和政策难题。

在这一背景下，全国社保公共服务平台下的社保数据，作为社保大数据的重要来源之一，显得尤为重要。然而，如何才能高效准确地开展社保数据挖掘，成为当前攸关研究的重点。本文将以全国社会保障公共服务平台为基础，探讨开展社保数据挖掘的现状、存在的问题及解决方法，为加强社保大数据的开发和管理提供参考意见。
基于以上这段文本，重新叙述一遍。
China has made significant progress in constructing its social security system in recent years, especially with the establishment of the National Social Security Public Service Platform in 2015. This platform has greatly facilitated inquiries about personal social security information, payment histories, and other services for the public. However, the platform now faces two new challenges - "resourceization" and "precisionization" - with the growth of social security data, along with the acceleration of information and network technology. To improve social security, promote "internet + government service", build a "digital China", and enhance online service capabilities and security levels, it is crucial to scientifically utilize the data resources of the platform for decision-making, evaluation, and supervision. The Chinese government has proposed a "big data + social security" development pattern, building a social security big data center to explore the laws and patterns of social security data through big data techniques and provide scientific basis for social security decision-making. However, due to the dispersed sources of social security information, the lack of uniform data standards and complete data sharing mechanisms, and relatively weak data analysis foundations, effective big data analysis and utilization remain a technical and policy challenge to be addressed. Under this context, social security data on the National Social Security Public Service Platform is an important source for social security big data. However, how to effectively and accurately conduct data mining has become a pressing research focus. This article discusses the status quo, existing problems, and solutions for conducting social security data mining based on the National Social Security Public Service Platform, providing reference suggestions for strengthening social security big data development and management.