Abstract
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.
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Wu, J.MT., Srivastava, G., Tayeb, S., Lin, J.CW. (2021). A PSO-Based Sanitization Process with Multi-thresholds Model. In: Del Bimbo, A., et al. Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science(), vol 12664. Springer, Cham. https://doi.org/10.1007/978-3-030-68799-1_32
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DOI: https://doi.org/10.1007/978-3-030-68799-1_32
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