Privacy-Preserving Classification Rule Mining for Balancing Data Utility and Knowledge Privacy Using Adapted Binary Firefly Algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/article/10.1007/s13369-017-2693-x/fulltext.html
Reference36 articles.
1. Andruszkiewicz, P.: Reduction relaxation in privacy preserving association rules mining. In: Tadeusz, M.; Theo, H.; Wrembel, R. (eds), Advances in Databases and Information Systems, volume 186 of Advances in Intelligent Systems and Computing, pp. 1–8. Springer, Berlin (2013)
2. Djeraba, C.; Simovici, D.A.: Mathematical tools for data mining: set theory, partial orders, combinatorics (2008)
3. Xu, L.; Jiang, C.; Wang, J.; Yuan, J.; Ren, Y.: Information security in big data: Privacy and data mining. IEEE Access 2, 1149–1176 (2014)
4. Amiri, A.: Dare to share: protecting sensitive knowledge with data sanitization. Decis. Support Syst. 43, 181–191 (2007)
5. Natwichai, J.; Li, X.; Orlowska, M.: Hiding classification rules for data sharing with privacy preservation. In: International Conference on Data Warehousing and Knowledge Discovery, pp. 468–477. Springer, Berlin (2005)
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Multi-level authentication for security in cloud using improved quantum key distribution;Network: Computation in Neural Systems;2024-07-08
2. Crime Hotspot Detection using Optimized K-means Clustering and Machine Learning Techniques;2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC);2023-07-06
3. A new method for privacy preserving association rule mining using homomorphic encryption with a secure communication protocol;Wireless Networks;2022-11-21
4. Detection and Correction of Abnormal Data with Optimized Dirty Data: A New Data Cleaning Model;International Journal of Information Technology & Decision Making;2021-03
5. Data mining privacy preserving: Research agenda;WIREs Data Mining and Knowledge Discovery;2020-10-18
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3