Add to ORKGPrivacy is an important issue in data mining and knowledge discovery. In this paper, we propose to use the randomized response techniques to conduct the data mining computation. Specially, we present a method to build decision tree classifiers from the disguised data. We conduct experiments to compare the accuracy ofour decision tree with the one built from the original undisguised data. Our results show that although the data are disguised, our method can still achieve fairly high accuracy. We also show how the parameter used in the randomized response techniques affects the accuracy ofthe results
Randomization has emerged as an important approach for data disguising in Privacy-Preserving Data Pu...
Privacy has become an increasingly important issue in data mining. In this paper, we consider a scen...
Protection of privacy has become an important problem in data mining. In particular, individuals hav...
Privacy is an important issue in data mining and knowledge discovery. In this paper, we describe a ...
Privacy is an important issue in data mining and knowledge discovery. In this paper, we propose to u...
Abstract. Privacy-preserving data mining has become an important topic, and many meth-ods have been ...
Data mining is a process in which data collected from different sources is analyzed for useful infor...
The development of data mining with data protection and data utility can manage distributed data eff...
121 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.The study presents some effec...
Data mining is a process in which data is collected from different sources and resume it in useful i...
Privacy preserving data mining is to discover accurate patterns without precise access to the origin...
Privacy-preserving data mining has become an active focus of the research community in the domains w...
This paper studies how to enforce differential privacy by using the randomized response in the data ...
In recent year’s privacy preservation in data mining has become an important issue. A new class of d...
Abstract—In this paper, we study the problem of constructing private classifiers using decision tree...
Randomization has emerged as an important approach for data disguising in Privacy-Preserving Data Pu...
Privacy has become an increasingly important issue in data mining. In this paper, we consider a scen...
Protection of privacy has become an important problem in data mining. In particular, individuals hav...
Privacy is an important issue in data mining and knowledge discovery. In this paper, we describe a ...
Privacy is an important issue in data mining and knowledge discovery. In this paper, we propose to u...
Abstract. Privacy-preserving data mining has become an important topic, and many meth-ods have been ...
Data mining is a process in which data collected from different sources is analyzed for useful infor...
The development of data mining with data protection and data utility can manage distributed data eff...
121 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.The study presents some effec...
Data mining is a process in which data is collected from different sources and resume it in useful i...
Privacy preserving data mining is to discover accurate patterns without precise access to the origin...
Privacy-preserving data mining has become an active focus of the research community in the domains w...
This paper studies how to enforce differential privacy by using the randomized response in the data ...
In recent year’s privacy preservation in data mining has become an important issue. A new class of d...
Abstract—In this paper, we study the problem of constructing private classifiers using decision tree...
Randomization has emerged as an important approach for data disguising in Privacy-Preserving Data Pu...
Privacy has become an increasingly important issue in data mining. In this paper, we consider a scen...
Protection of privacy has become an important problem in data mining. In particular, individuals hav...