CAJ | 학술논문

在不泄露隐私信息或敏感知识的基础下,如何挖掘出分布式数据中准确的规则信息,已成为数据挖掘领域的重要研究方向之一。本文总结了面向分布式数据挖掘的隐私保护技术的现状,并比较分析了不同方法的优缺点,另外还提出了面向数据挖掘隐私保护技术的性能评估标准,展望了未来进一步的研究方向。
재불설로은사신식혹민감지식적기출하,여하알굴출분포식수거중준학적규칙신식,이성위수거알굴영역적중요연구방향지일。본문총결료면향분포식수거알굴적은사보호기술적현상,병비교분석료불동방법적우결점,령외환제출료면향수거알굴은사보호기술적성능평고표준,전망료미래진일보적연구방향。
On the basis of non-disclosure of private information or sensitive knowledge,how to explore the accurate rule information in the distributed data mining has become one of the important research direction of data mining field.In this paper,we survey the state of the privacy preservation techniques for distributed data mining,and then compares and analyzes the advantages and disadvantages of the different methods.Furthermore,we also propose the evaluation standards of privacy preservation techniques and present the further study direction.