File(s) not publicly available
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 ImamFish 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 KStart Page
250End Page
257Number of Pages
8Start Date
2016-12-04Finish Date
2016-12-06ISBN-13
9781509057535Location
Nadi, FijiPublisher
IEEEPlace of Publication
Piscataway, NJPublisher DOI
Full Text URL
Peer Reviewed
- Yes
Open Access
- No
External Author Affiliations
The University of FijiEra Eligible
- Yes
Name of Conference
3rd Asia-Pacific World Congress on Computer Science and Engineering & 2nd Asia-Pacific World Congress on Engineering 2016Usage metrics
Keywords
Licence
Exports
RefWorksRefWorks
BibTeXBibTeX
Ref. managerRef. manager
EndnoteEndnote
DataCiteDataCite
NLMNLM
DCDC