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» Performance Measurements for Privacy Preserving Data Mining
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WPES
2003
ACM
15 years 5 months ago
Analysis of privacy preserving random perturbation techniques: further explorations
Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...
Haimonti Dutta, Hillol Kargupta, Souptik Datta, Kr...
GIS
2008
ACM
16 years 24 days ago
Privacy: preserving trajectory collection
In order to provide context?aware Location?Based Services, real location data of mobile users must be collected and analyzed by spatio?temporal data mining methods. However, the d...
Gyözö Gidófalvi, Torben Bach Pede...
ICEB
2004
175views Business» more  ICEB 2004»
15 years 1 months ago
Privacy-Preserving Collaborative Association Rule Mining
This paper introduces a new approach to a problem of data sharing among multiple parties, without disclosing the data between the parties. Our focus is data sharing among parties i...
Justin Z. Zhan, Stan Matwin, Nathalie Japkowicz, L...
TRUSTBUS
2004
Springer
15 years 5 months ago
Privacy Preserving Data Generation for Database Application Performance Testing
Abstract. Synthetic data plays an important role in software testing. In this paper, we initiate the study of synthetic data generation models for the purpose of application softwa...
Yongge Wang, Xintao Wu, Yuliang Zheng
DMKD
2004
ACM
136views Data Mining» more  DMKD 2004»
15 years 5 months ago
Mining association rules with non-uniform privacy concerns
Privacy concerns have become an important issue in data mining. A popular way to preserve privacy is to randomize the dataset to be mined in a systematic way and mine the randomiz...
Yi Xia, Yirong Yang, Yun Chi