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Study on distributed privacy preserving data mining

机译:分布式隐私保护数据挖掘研究

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摘要

Recently, with the rapid development of network, communications and computer technology, privacy preserving data mining (PPDM) has become an increasingly important research in the field of data mining. In distributed environment, how to protect data privacy while doing data mining jobs from a large number of distributed data is more far-researching. This paper describes current research of PPDM at home and abroad. Then it puts emphasis on classifying the typical uses and algorithms of PPDM in distributed environment, and summarizing their advantages and disadvantages. Furthermore, it points out the future research directions in the field.
机译:近年来,随着网络,通信和计算机技术的飞速发展,隐私保护数据挖掘(PPDM)已成为数据挖掘领域中越来越重要的研究。在分布式环境中,如何在从大量分布式数据中进行数据挖掘作业的同时保护数据私密性还需要进一步研究。本文介绍了PPDM在国内外的最新研究。然后重点介绍了在分布式环境中对PPDM的典型用法和算法进行分类,并总结了它们的优缺点。此外,它指出了该领域的未来研究方向。

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