CAJ | 학술논문

数据挖掘中的隐私泄漏问题一直备受关注，在确保隐私的前提下达到最佳挖掘效果是近年来数据挖掘领域的研究热点之一。为防止在数据挖掘中发生隐私泄漏等问题，基于隐私保护框架，提出一种支持动态计算冲突度的高效的敏感规则清洗算法。在隐藏敏感规则的同时，动态调整冲突交易的冲突度，以尽量减少对非敏感规则误隐藏的可能性。理论分析与实验结果表明，给出的算法隐藏失败率为零，且大幅度降低了误隐藏率，有效保护了敏感规则，显著改善了算法的清洗效果。
수거알굴중적은사설루문제일직비수관주，재학보은사적전제하체도최가알굴효과시근년래수거알굴영역적연구열점지일。위방지재수거알굴중발생은사설루등문제，기우은사보호광가，제출일충지지동태계산충돌도적고효적민감규칙청세산법。재은장민감규칙적동시，동태조정충돌교역적충돌도，이진량감소대비민감규칙오은장적가능성。이론분석여실험결과표명，급출적산법은장실패솔위령，차대폭도강저료오은장솔，유효보호료민감규칙，현저개선료산법적청세효과。
The privacy leaking issue of data mining is always drawing tremendous attention. Realizing optimal mining effect without priva-cy leaking is one of the active issues in the field of data mining. In order to prevent privacy leaking during data mining,based on privacy enforcing framework,propose a sensitive rule sanitization algorithm that supports dynamic degree of conflict calculation,which reduces misses costs to the best via altering conflict transaction record dynamically while achieving good concealing purpose. Theoretical analysis and experiment results show that the presented algorithm can protect the sensitive rules effectively with no hiding failure and reduce re-markably the error hiding rate,which enhances the performance of the algorithm significantly.