An Enhanced Privacy Preserving Techniques for Asynchronous Streaming Data Mining in Distributed Environment
Senathipathi Velmurugan · SSRN Electronic Journal · 2020
This research deals with the study and analysis of privacy preserving techniques in collaborative data mining in order to improve the efficiency and effectiveness of asynchronous streaming data mining in distributed environment. Data mining is a process which uses different data analysis tools that discover patterns and relationships in data that can be used to make predictions. Security and Privacy protection has been a public policy firm for decades. However, rapid technological changes, the fast growing of the internet source and electronic digital source, and the development of more sophisticated methods of collecting, analyzing, and using personal data have made privacy a major public and government issues. The field of data mining is yield significance recognition to the availability of large amounts of data, easily collected and stored via computer systems.