A PSO-Based Sanitization Process with Multi-thresholds Model
A PSO-Based Sanitization Process with Multi-thresholds Model
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DOI：
10.1007/978-3-030-68799-1_32
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
J. Wu;Gautam Srivastava;Shahab Tayeb;Chun-Wei Lin
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文献类型：
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作者：
J. Wu;Gautam Srivastava;Shahab Tayeb;Chun-Wei Lin
早期，已经提出了许多PPDM算法来隐藏数据库中的敏感项，以便公开敏感项集。然而，所有现有技术都忽略了设置最小支持阈值的关键问题。为此，本文提出了一种新的最小支持度的概念来解决这一问题。在给定的阈值函数的情况下，所提出的方法将为包含多个项目的对象设置更严格的阈值。实验结果进行评估，以显示传统的贪婪PPDM方法，基于GA的PPDM方法，并提出了基于PSO的算法与新的灵活和最小的支持函数的性能。
Earlier, many PPDM algorithms have been proposed to conceal sensitive items in a database in order to disclose sensitive itemsets. All prior techniques, however, ignored a crucial problem in setting minimum support thresholds. Thus, a new concept of minimal support for solving this issue is proposed in this paper. In compliance with a given threshold function, the proposed approach would set a tighter threshold for an object containing several items. Experimental results are then evaluated to show the performance of the traditional Greedy PPDM approach, GA-based PPDM approaches, and the proposed PSO-based algorithm with the new flexible and minimal support function.