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Potentials of data mining and cloud computing in the fish poisoning and relevant economic contexts: A conceptual review

conference contribution
posted on 2018-10-11, 00:00 authored by J Nahar, K Kumar, A Prasad, N Sharma, A Khan, S Singh, S Shania, A Kumar, J Singh, Tasadduq ImamTasadduq Imam
Fish poisoning can be life threatening and it is important to detect the causes of fish poisoning, and the type of fish poisoning, reliably and accurately. However, the existing research on fish poisoning has generally focused on statistical methods and specific areas within the fish poisoning field. This review based research also highlights the possibilities of data mining in this area, especially by reflecting how the different data mining methods may address different issues of uncertainty linked to fish poisoning. The article also discusses the possibility of cloud computing in this context and the economic benefit that may be brought forth by using a data mining based system within cloud computing architecture. Additionally it demonstrates an example of utilizing data mining in the fish poisoning research area. The work is expected to guide empirical research, especially for the Fijian context. © 2016 IEEE.

Funding

Other

History

Editor

Shawkat Ali ABM; Khan MA; Mamun K

Start Page

250

End Page

257

Number of Pages

8

Start Date

2016-12-04

Finish Date

2016-12-06

ISBN-13

9781509057535

Location

Nadi, Fiji

Publisher

IEEE

Place of Publication

Piscataway, NJ

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

The University of Fiji

Era Eligible

  • Yes

Name of Conference

3rd Asia-Pacific World Congress on Computer Science and Engineering & 2nd Asia-Pacific World Congress on Engineering 2016