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In this paper, we propose a method for privacy-preserving classification of data streams, called the PCDS method, which extends the process of data streams ...
The traditional privacy- preserving data mining techniques focus on static data and are not applicable to data streams with unbounded data size and continuous ...
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Jun 1, 2024 · In this paper, we mainly focus on review of privacy preserving classification methods for data streams, which applies classification algorithms ...
One common practice is to redirect all data streams into a central place for joint analysis. This “centralized” practice is challenged by the fact that data ...
This paper proposes two data perturbation methods for privacy-preserving stream mining based on a combination of random projection, random translation, and two ...
Privacy-Preserving Classification for Data Streams. Publication , Journal Article. Xu, Y; Wang, K; Fu, AW-C; She, R; Pei, J. Duke Scholars. Jian Pei. Author ...
Abstract. In a wide range of applications, multiple data streams need to be examined to- gether in order to discover trends or patterns existing across ...
Privacy preserving data mining is a method of breaking down mass data for a shared data storage framework. In this strategy the primary point is to protect the ...
An approach has been discussed for privacy-preserving classification of data streams, which consists of two steps: date streams pre-processing and data streams ...
Feb 22, 2023 · This study investigates existing input privacy-preserving data mining (PPDM) methods and privacy-preserving data stream mining methods (PPDSM), including their ...