eCite Digital Repository

Developing decision support systems for multiple knowledge domains: a proposed solution

Citation

Ho, NTU and Mirowski, L and Scanlan, JD, Developing decision support systems for multiple knowledge domains: a proposed solution, Journal of Computers, 14, (5) pp. 339-348. ISSN 1796-203X (2019) [Refereed Article]

Copyright Statement

Copyright 2019 JCP, Journal of Computers

Official URL: http://www.jcomputers.us/list-211-1.html

DOI: doi:10.17706/jcp.14.5.339-348

Abstract

With the emergence of the Internet of Things (IoT), there has been an exponential growth in the number of sensors and the data streams they produce. This sensor data is being used in a wide range of primary industries in Australia to enable smarter decisions at many levels of production. This data is only useful if it is accessible to decision makers in a timely manner. This paper examines how a framework that is applicable across multiple domains can be developed to enable rapid development of decision support tools. This aims to avoid development duplication and enable businesses to save time and money. The framework is aimed at rapidly producing Decision Support Systems (DSS) that can aggregate heterogeneous data streams into a single flexible architecture and visualize the data in a way that assists experts to make decisions.

Item Details

Item Type:Refereed Article
Keywords:decision support, forestry
Research Division:Commerce, Management, Tourism and Services
Research Group:Business and Management
Research Field:Logistics and Supply Chain Management
Objective Division:Information and Communication Services
Objective Group:Information Services
Objective Field:Electronic Information Storage and Retrieval Services
UTAS Author:Ho, NTU (Ms Ninh Ho)
UTAS Author:Scanlan, JD (Dr Joel Scanlan)
ID Code:135319
Year Published:2019
Deposited By:Information and Communication Technology
Deposited On:2019-10-12
Last Modified:2020-01-29
Downloads:0

Repository Staff Only: item control page