A novel technique of privacy preserving association rule mining

机译：隐私保护关联规则挖掘的新技术

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Privacy Preserving Association Rule Mining (PPAM) becomes an important issue in recent years. Since data mining alone is not enough to share data between companies without privacy preserving. In this paper, a new technique has been proposed to maintain the confidentiality of the data by fabricating of association rule using a stochastic standard map without returning to mining sensitive data again. The system simulation using Matlab and tested that shows the successful difference between the original data and fabricated. And also been achieved high speed and fewer memory requirements.

机译：隐私保护协会规则挖掘（PPAM）成为近年来的重要问题。由于仅数据挖掘还不足以在没有保护隐私的情况下在公司之间共享数据。本文提出了一种新技术，可以通过使用随机标准图来构造关联规则来保持数据的机密性，而无需再次返回挖掘敏感数据。使用Matlab进行的系统仿真和测试表明，原始数据和制造的数据之间存在成功的区别。并且还实现了高速和较少的内存需求。

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来源
《2016 Al-Sadiq International Conference on Multidisciplinary in IT and Communication Techniques Science and Applications》|2016年|1-6|共6页
会议地点 Baghdad(IQ)
作者
Rana Saad Mohammed; Enas Mohammed Hussien; Jinan Redha Mutter;
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作者单位

Computer Science Dept., Education Col., Al-Mustansiriyah Uni., Baghdad, Iraq;

Computer Science Dept., Educatio n Co l., Al-Mustansiriy ah Uni., Baghdad, Iraq;

Computer Science Dept., Education Col., Al-Mustansiriyah Uni., Baghdad, Iraq;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Data privacy; Standards; Itemsets; Computer science; Education; Privacy;

机译：数据隐私;标准;项目集;计算机科学;教育;隐私;

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1. A Review on Association Rule Mining Techniques with Respect to their Privacy Preserving Capabilities [J] . M. Supriyamenon, P. Rajarajeswari International Journal of Applied Engineering Research . 2017,第24aPta9期

机译：关于其隐私保存能力的关联规则挖掘技术综述
2. Analysis and Evaluation of Novel Privacy Preserving Techniques for Collaborative Temporal Association Rule Mining Using Secret Sharing [J] . Nirali R. Nanavati, Neeraj Sen, Devesh C. Jinwala International journal of distributed systems and technologies . 2014,第3期

机译：基于秘密共享的协作时间关联规则挖掘的新型隐私保护技术的分析与评估
3. Comprehensive Survey on Privacy Preserving Association Rule Mining: Models, Approaches, Techniques and Algorithms [J] . Ibrahim S. Alwatban, Ahmed Z. Emam International Journal of Artificial Intelligence Tools: Architectures, Languages, Algorithms . 2014,第5期

机译：隐私保护关联规则挖掘的综合调查：模型，方法，技术和算法
4. PPARM: Privacy Preserving Association Rule Mining Technique for Vertical Partitioning Database [C] . Virendra Dani, Shubham Kothari, Himanshu Panadiwal International Conference on Innovations in Bio-Inspired Computing and Applications . 2019

机译：PPARM：垂直分区数据库的隐私保留协会规则挖掘技术
5. Perturbation based privacy preserving data mining techniques for real-world data. [D] . Liu, Li. 2008

机译：基于扰动的隐私保护数据挖掘技术，用于真实世界的数据。
6. Exploration of the Association Rules Mining Technique for the Signal Detection of Adverse Drug Events in Spontaneous Reporting Systems [O] . Chao Wang, Xiao-Jing Guo, Jin-Fang Xu, 2009

机译：自发报告系统中不良药物事件信号检测的关联规则挖掘技术探索
7. Privacy Preserving Association Rule Mining: Taxonomy, Techniques, and Metrics [O] . Lili Zhang, Wenjie Wang, Yuqing Zhang 2019

机译：隐私保留协会规则挖掘：分类，技术和指标

A novel technique of privacy preserving association rule mining

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