PRIVACY PRESERVING ANALYSIS OF MULTIDIMENSIONAL DATA

Authors

  • MS.SHEJAL GAIKWAD Department of Computer Engineering. K.J‟s. Educational Institute, Trinity College of Engineering and Research, Pune, Maharashtra, India
  • MS.SHAISTA ZAMEER Department of Computer Engineering. K.J‟s. Educational Institute, Trinity College of Engineering and Research, Pune, Maharashtra, India
  • MS.ARCHANA GHANWAT Department of Computer Engineering. K.J‟s. Educational Institute, Trinity College of Engineering and Research, Pune, Maharashtra, India
  • MR. AVINASH PALAVE Department of Computer Engineering. K.J‟s. Educational Institute, Trinity College of Engineering and Research, Pune, Maharashtra, India

Keywords:

Big data: privacy, DRIPROM, networks, big data, summary, dataset etc

Abstract

Data management context for big data research is represented by the issue of effectively and efficiently supporting
analytics over big data a collection of models, algorithms and techniques oriented to extract useful knowledge from
Cloud-based big data repositories for decision making and prediction purposes, e.g. by means of multidimensional data
analysis paradigms. Big Social Data: here, social data coming from different social networks, such as Twitter,
Facebook, LinkedIn, etc. Big Legacy Data: this big data source stores legacy data coming from legacy applications, such
as government data, work data, Big Event Data: here, event data, such as calendar data, organization data, contact
data, and so forth, are located; Big Pro le Data: this big data source stores pro le data coming from users activities,
such as smart-phone data, network data, The privacy of big data is provided.

Published

2019-03-25

How to Cite

MS.SHEJAL GAIKWAD, MS.SHAISTA ZAMEER, MS.ARCHANA GHANWAT, & MR. AVINASH PALAVE. (2019). PRIVACY PRESERVING ANALYSIS OF MULTIDIMENSIONAL DATA. International Journal of Advance Research in Engineering, Science & Technology, 6(3), 73–75. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1909