Privacy Preserving Data Stream Classification: Recent Approaches and Open Challenges

Abstract

With the relevant growth of big data stream, the research industry has great attention to data stream mining which has a wide range of applications like banking, education, networking, telecommunication, weather forecasting, a stock market, and so on. Because of this, privacy preserving in data stream mining is having more attention from researchers. In this paper, we mainly focus on review of privacy preserving classification methods for data streams, which applies classification algorithms to big data streams while ensuring the privacy of data. Recently, the emerging big data analytics context has conferred a new light to this exciting research area.