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Knowledge Acquisition and Privacy Preserving in Cloud using Simultaneous Diagonalization Algorithm

Publication Type : Journal Article

Publisher : International Journal of Advanced Research in Computer Science and Software Engineering

Source : International Journal of Advanced Research in Computer Science and Software Engineering, Volume 6, Issue 9 (2016)

Url : http://ijarcsse.com/Before_August_2017/docs/papers/Volume_6/9_September2016/V6I9-0191.pdf

Keywords : Cloud computing, Data mining, Knowledge acquisition, Privacy Preserving, Simultaneous Diagonolization

Campus : Bengaluru

School : Department of Computer Science and Engineering, School of Engineering

Center : Amrita Innovation & Research

Department : Computer Science

Verified : No

Year : 2016

Abstract : In the recent times the WWW (World Wide Web) has transformed from static collection of HTML data to a dynamic system that offered a platform for cloud technologies and distributed information systems. This paper describes how data mining is used in cloud computing while preserving its privacy. Data Mining is used for extracting potentially useful information from raw data. The integration of data mining techniques into normal day-to-day activities has become common place. Every day people are confronted with targeted advertising, and data mining techniques help businesses to become more efficient by reducing costs. Data mining techniques and applications are very much needed in the cloud computing paradigm. The implementation of data mining techniques through Cloud computing will allow the users to retrieve meaningful information from virtually integrated data warehouse that reduces the costs of infrastructure and storage.

Cite this Research Publication : Neelu Khare, Kumaran U., and M. Mohan Vamsi, “Knowledge Acquisition and Privacy Preserving in Cloud using Simultaneous Diagonalization Algorithm”, International Journal of Advanced Research in Computer Science and Software Engineering, vol. 6, no. 9, 2016.

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