摘要
大数据时代下,政府网络信息监管、企业运营决策等都需要对大量数据完成数据分析,从中抽取有用的知识和规则,但原始数据中又包含许多敏感性的信息,因此在数据挖掘的过程中要兼顾保护好用户的隐私信息。对隐私保护关键技术进行总结,对隐私保护算法进行研究和改进,为基于隐私保护的大数据挖掘开辟有效手段。
In big data era, it＇s necessary for government network information supervising, enterprise operation decision-making, etc., to analyze large number of data, and extract some useful knowledge and rule, but the original data contain some sensitiveness information, it＇s necessary to protect the user privacy during the process of data mining. Summaries the key technologies of privacy protection, studies and makes improvement of privacy protection algorithm, sets up efficient method of big data mining based on privacy protection.
关键词
隐私保护
大数据挖掘
算法
Privacy Protection
Big Data Mining
Algorithm
