Using unknowns to prevent discovery of association rules-Reference-Cited by-同舟云学术

Using unknowns to prevent discovery of association rules

Published:2001-12 Issue:4 Volume:30 Page:45-54
ISSN:0163-5808
Container-title:ACM SIGMOD Record
language:en
Short-container-title:SIGMOD Rec.

Author:

Saygin Yücel¹,Verykios Vassilios S.²,Clifton Chris³

Affiliation:

1. Bilkent University, Turkey

2. Drexel University

3. Purdue University

Abstract

Data mining technology has given us new capabilities to identify correlations in large data sets. This introduces risks when the data is to be made public, but the correlations are private. We introduce a method for selectively removing individual values from a database to prevent the discovery of a set of rules, while preserving the data for other applications. The efficacy and complexity of this method are discussed. We also present an experiment showing an example of this methodology.

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems,Software

Link

https://dl.acm.org/doi/pdf/10.1145/604264.604271

Reference9 articles.

1. On the design and quantification of privacy preserving data mining algorithms

2. Privacy-preserving data mining

3. Parsimonious downgrading and decision trees applied to the inference problem

Cited by 145 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. Edge Deletion based Subgraph Hiding;WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS;2024-07-17

2. On Breaking Truss-based and Core-based Communities;ACM Transactions on Knowledge Discovery from Data;2024-04-12

3. Preserving Individual Privacy from Inference Attack in Transaction Data Publishing;2023 Eighth International Conference on Informatics and Computing (ICIC);2023-12-08

4. Application of Computer Simulation to the Anonymization of Personal Data: State-of-the-Art and Key Points;Programming and Computer Software;2023-07-28

5. APPLICATION OF COMPUTER SIMULATION TO THE ANONYMIZATION OF PERSONAL DATA: STATE-OF-THE-ART AND KEY POINTS;Программирование;2023-07-01