A Systematic Review on Uncertain and Probabilistic Databases: Principles, Current trends, Future Directions

Authors

  • Manas Kumar Yogi Pragati Engineering College,Surampalem
  • K. Ganga Devi Bhavani

DOI:

https://doi.org/10.37591/joadms.v5i3.1829

Abstract

Abstract

Most genuine databases contain information whose accuracy is unverifiable. With the end goal to work with such information, there is a need to evaluate the honesty of the information. This is accomplished by utilizing probabilistic databases. A probabilistic database is a dubious database in which the conceivable universes have related probabilities. Probabilistic database administration frameworks are as of now a functioning zone of research. While there are as of now no business probabilistic database frameworks, a few research models exist. Probabilistic databases are the databases where the estimation of a few characteristics or the nearness of a few records are unverifiable and known just with some likelihood. Applications in numerous regions, for example, data extraction, RFID and logical information administration, information cleaning, information incorporation, and budgetary hazard appraisal deliver vast volumes of unverifiable information, which are best demonstrated and handled by a probabilistic database.

Keywords: Uncertain, probabilistic, databases, ProbDMS, MayBMS, MystiQ

Cite this Article

Manas Kumar Yogi, Ganga Devi Bhavani K. A Systematic Review on Uncertain and Probabilistic Databases: Principles, Current Trends, Future Directions. Journal of Advanced Database Management & Systems. 2018; 5(3): 1–7p.


Author Biography

  • Manas Kumar Yogi, Pragati Engineering College,Surampalem

    Assistant Professor,CSE Dept.

    Pragati Engineering College,Surampalem

Published

2019-01-20

Issue

Section

Review Articles