Association rule: from Mining to Hiding

被引：0

作者：

Wang, Hui ^{[1
]}

机构：

[1] Natl Def Informat Acad, Dept Informat Technol, Wuhan 430010, Peoples R China

来源：

MECHATRONICS AND INDUSTRIAL INFORMATICS, PTS 1-4 | 2013年 / 321-324卷

关键词：

data mining; knowledge discovery; association rule hiding; sensitive rule; privacy preserving;

D O I：

10.4028/www.scientific.net/AMM.321-324.2570

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Data mining is to discover knowledge which is unknown and hidden in huge database and would be helpful for people understand the data and make decision better. Some knowledge discovered from data mining is considered to be sensitive that the holder of the database will not share because it might cause serious privacy or security problems. Privacy preserving data mining is to hide sensitive knowledge and it is becoming more and more important and attractive. Association rule is one class of the most important knowledge to be mined, so as sensitive association rule hiding. The side-effects of the existing data mining technology are investigated and the representative strategies of association rule hiding are discussed.

引用

页码：2570 / 2573

页数：4

共 50 条

[1] Association Rule Hiding in Privacy Preserving Data Mining
Mohan, S. Vijayarani
Angamuthu, Tamilarasi
[J]. INTERNATIONAL JOURNAL OF INFORMATION SECURITY AND PRIVACY, 2018, 12 (03) : 141 - 163
[2] Association Rule Hiding for Privacy Preserving Data Mining
Mogtaba, Shyma
Kambal, Eiman
[J]. ADVANCES IN DATA MINING: APPLICATIONS AND THEORETICAL ASPECTS, 2016, 9728 : 320 - 333
[3] A Novel Approach for Efficient Mining and Hiding of Sensitive Association Rule
Patil, Suraj P.
Patewar, M.
[J]. 3RD NIRMA UNIVERSITY INTERNATIONAL CONFERENCE ON ENGINEERING (NUICONE 2012), 2012,
[4] An association rule hiding algorithm for privacy preserving data mining
Srinivasa Rao, K.
Mandhala, Venkata Naresh
Bhattacharyya, Debnath
Kim, Tai-Hoon
[J]. International Journal of Control and Automation, 2014, 7 (10): : 393 - 404
[5] Hiding sensitive items in privacy preserving association rule mining
Wang, SL
Lee, YH
Billis, S
Jafari, A
[J]. 2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 3239 - 3244
[6] Association rule hiding
Verykios, VS
Elmagarmid, AK
Bertino, E
Saygin, Y
Dasseni, E
[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2004, 16 (04) : 434 - 447
[7] Association Rule Hiding Techniques for Privacy Preserving Data Mining: A Study
Gayathiri, P.
Poorna, B.
[J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2015, 6 (12) : 236 - 242
[8] Efficient method in association rule hiding for privacy preserving with data mining approach
Praveena, Kurapati
Sirisha, Gudla
Babu, Satukumati Suresh
Rao, Panchala Sambasiva
[J]. Ingenierie des Systemes d'Information, 2019, 24 (01): : 47 - 50
[9] Association rule hiding methods
Verykios, Vassilios S.
[J]. WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2013, 3 (01) : 28 - 36
[10] Privacy Preserving Association Rule Mining Algorithm Based on Hybrid Partial Hiding Strategy
Zhu, Jianming
Li, Zhanyu
[J]. LISS 2013, 2015, : 1065 - 1070

← 1 2 3 4 5 →