Practical data-swapping: the first steps
ACM Transactions on Database Systems (TODS)
A data distortion by probability distribution
ACM Transactions on Database Systems (TODS)
Security-control methods for statistical databases: a comparative study
ACM Computing Surveys (CSUR)
Communications of the ACM
C4.5: programs for machine learning
C4.5: programs for machine learning
Consumer privacy concerns about Internet marketing
Communications of the ACM
Security of statistical databases: multidimensional transformation
ACM Transactions on Database Systems (TODS)
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
A General Additive Data Perturbation Method for Database Security
Management Science
A study of student privacy issues at Stanford University
Communications of the ACM - Robots: intelligence, versatility, adaptivity
The Security of Confidential Numerical Data in Databases
Information Systems Research
Revealing information while preserving privacy
Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Privacy preserving mining of association rules
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Transforming data to satisfy privacy constraints
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Disclosure Limitation of Sensitive Rules
KDEX '99 Proceedings of the 1999 Workshop on Knowledge and Data Engineering Exchange
IEEE Transactions on Knowledge and Data Engineering
Context-based market basket analysis in a multiple-store environment
Decision Support Systems
A Bayesian Approach for Estimating and Replacing Missing Categorical Data
Journal of Data and Information Quality (JDIQ)
Overview and Framework for Data and Information Quality Research
Journal of Data and Information Quality (JDIQ)
A privacy protection technique for publishing data mining models and research data
ACM Transactions on Management Information Systems (TMIS)
An improved EDP algorithm to privacy protection in data mining
BI'11 Proceedings of the 2011 international conference on Brain informatics
Protecting Privacy Against Record Linkage Disclosure: A Bounded Swapping Approach for Numeric Data
Information Systems Research
Two New Prediction-Driven Approaches to Discrete Choice Prediction
ACM Transactions on Management Information Systems (TMIS)
Class-Restricted Clustering and Microperturbation for Data Privacy
Management Science
Developing privacy solutions for sharing and analysing healthcare data
International Journal of Business Information Systems
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To respond to growing concerns about privacy of personal information, organizations that use their customers' records in data-mining activities are forced to take actions to protect the privacy of the individuals involved. A common practice for many organizations today is to remove identity-related attributes from the customer records before releasing them to data miners or analysts. We investigate the effect of this practice and demonstrate that many records in a data set could be uniquely identified even after identity-related attributes are removed. We propose a perturbation method for categorical data that can be used by organizations to prevent or limit disclosure of confidential data for identifiable records when the data are provided to analysts for classification, a common data-mining task. The proposed method attempts to preserve the statistical properties of the data based on privacy protection parameters specified by the organization. We show that the problem can be solved in two phases, with a linear programming formulation in Phase I (to preserve the first-order marginal distribution), followed by a simple Bayes-based swapping procedure in Phase II (to preserve the joint distribution). Experiments conducted on several real-world data sets demonstrate the effectiveness of the proposed method.