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Exploring sensitive high-average utility patterns in transaction databases has gained prominence in data mining. The published algorithms are time-consuming and produce high unwanted side effects. This paper introduces an algorithm designed to efficiently reduce the execution time and minimize the side effects generated during the hiding process. Experimental outcomes demonstrate that the proposed algorithm outperforms previous algorithms in terms of time efficiency.

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An Effective Technique for Hiding Sensitive High-Average Utility Pattern in Transaction Databases

  • 会议论文

  • 发表日期：

    2025年

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  • Khac-Chien Nguyen,
  • Thanh Nha Nguyen

摘要

Exploring sensitive high-average utility patterns in transaction databases has gained prominence in data mining. The published algorithms are time-consuming and produce high unwanted side effects. This paper introduces an algorithm designed to efficiently reduce the execution time and minimize the side effects generated during the hiding process. Experimental outcomes demonstrate that the proposed algorithm outperforms previous algorithms in terms of time efficiency.