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

Manas Kumar Yogi; K. Ganga Devi Bhavani

doi:10.37591/joadms.v5i3.1829

Abstract

AbstractMost 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, MystiQCite this ArticleManas 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.