Open AccessManaging economic and Islamic research in big data environment: From computer science perspective
Author(s) -
Nordin Abu Bakar
Publication year - 2018
Publication title -
journal of emerging economies and islamic research
Language(s) - English
Resource type - Journals
ISSN - 2289-2559
DOI - 10.24191/jeeir.v6i1.8768
Subject(s) - big data , perspective (graphical) , computer science , islam , data science , outcome (game theory) , management science , operations research , artificial intelligence , data mining , engineering , mathematics , philosophy , theology , mathematical economics
Research in economic and Islamic fields are facing a major challenge in the surge of big data. The landscape and the environment produce problems of massive magnitude and demand robust solutions. The traditional method might not be able to cater for this huge challenge; so, researchers must embark on the mission to seek new and versatile methods to solve the complex problem. If not, the research output would end up with sub-optimal results. In computer science, there are machine learning algorithms that have been used to solve problems in a such complex environment. This article explains the current demanding situation facing many researchers and how those algorithms have successfully solved some of the problems. The potential applications of the methods should be learned and utilised to improve the outcome of the research in these fields.