Big data inconsistencies and incompleteness: a literature review Online publication date: Fri, 02-Oct-2020
by Olayinka Johnny; Marcello Trovati
International Journal of Grid and Utility Computing (IJGUC), Vol. 11, No. 5, 2020
Abstract: The analysis and integration of big data highlight some issues in the identification and resolution of data inconsistencies and knowledge incompleteness. This paper presents an overview of data inconsistencies and a review of approaches to resolve various levels of data inconsistencies. Moreover, we discuss some issues related to incompleteness and stability of known knowledge over specific time periods, and the implication for the decision-making process. In addition, the use of a Bayesian network model in inconsistency resolution in data analysis and knowledge engineering will also be considered.
Online publication date: Fri, 02-Oct-2020
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Grid and Utility Computing (IJGUC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org