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A review of knowledge discovery process in control and mitigation of avian influenza

Part of: Big Data

Published online by Cambridge University Press:  16 September 2019

Samira Yousefi Naghani ,
Rozita Dara ,
Zvonimir Poljak  and
Shayan Sharif
Samira Yousefi Naghani
Affiliation:
School of Computer Science, University of Guelph, Guelph, Ontario, Canada
Rozita Dara*
Affiliation:
School of Computer Science, University of Guelph, Guelph, Ontario, Canada
Zvonimir Poljak
Affiliation:
Department of Population Medicine, University of Guelph, Guelph, Ontario, Canada
Shayan Sharif
Affiliation:
Department of Pathobiology, University of Guelph, Guelph, Ontario, Canada
*
Author for correspondence: Rozita Dara, School of Computer Science, University of Guelph, Guelph, Ontario, Canada. E-mail: [email protected]
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Abstract

In the last several decades, avian influenza virus has caused numerous outbreaks around the world. These outbreaks pose a significant threat to the poultry industry and also to public health. When an avian influenza (AI) outbreak occurs, it is critical to make informed decisions about the potential risks, impact, and control measures. To this end, many modeling approaches have been proposed to acquire knowledge from different sources of data and perspectives to enhance decision making. Although some of these approaches have shown to be effective, they do not follow the process of knowledge discovery in databases (KDD). KDD is an iterative process, consisting of five steps, that aims at extracting unknown and useful information from the data. The present review attempts to survey AI modeling methods in the context of KDD process. We first divide the modeling techniques used in AI into two main categories: data-intensive modeling and small-data modeling. We then investigate the existing gaps in the literature and suggest several potential directions and techniques for future studies. Overall, this review provides insights into the control of AI in terms of the risk of introduction and spread of the virus.

Keywords

Avian influenzadata miningknowledge discovery processmachine learningmodeling
Type
Review Article
Information
Animal Health Research Reviews , Volume 20 , Issue 1 , June 2019 , pp. 61 - 71
Copyright
Copyright © Cambridge University Press 2019

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