Privacy Preserving Data Mining (PPDM) is an area that deals with data mining techniques that allow the data to be mined while keeping its privacy intact. PPDM comes into play when different parties want to involve in collaborative data mining and wish to collectively mine their data to extract...
This study investigates existing input privacy-preserving data mining (PPDM) methods and privacy-preserving data stream mining methods (PPDSM), including t
Privacy-Preserving Data Mining 来自 ResearchGate 喜欢 0 阅读量: 52 作者: SRM Oliveira 出版社: Springer US 摘要: Despite its benefits in various areas (e.g., business, medical analysis, scientific data analysis, etc), the use of data mining techniques can also result in new threats to ...
Inside the constraints of privateness, a couple of ways have been introduced however nonetheless this branch of exploration is in its early life .The success of privateness preserving data mining procedures is measured in phrases of its efficiency, data utility, degree of uncertainty or resistance ...
Privacy preserving data mining implies the "mining" of knowledge from distributed data without violating the privacy of the individual/corporations involved in contributing the data. This volume provides a comprehensive overview of available approaches, techniques and open problems in privacy preserving data...
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Therefore, privacy-preserving data mining algorithms should be built for protecting the privacy of medical data. Prediction models, which are obtained by training the medical data and used to predict patients’ diseases, are incapable of being exposed to the third party since they are considered as...
1.1 Related Work Cryptographic techniques have been used to design many different distributed privacy-preserving data mining algorithms. In general, there are two types of as- sumptions on data distribution: vertical and horizontal partitioning. In the case of horizontally partitioned data, different ...
Privacy preserving data mining also concentrate on sensitive knowledge pattern that can be exposed when mining the data. Therefore, researchers, for a long time period, have been investigating paths to provide privacy for sensitive data in data mining analysis task process. So, many techniques have...