数据挖掘和云计算在鱼中毒和相关经济背景中的潜力:概念综述

J. Nahar, Kunal Kumar, A. Prasad, Neeraj Anand Sharma, Almaz Khan, Swetha Singh, Shinal Shania, Ashrita Kumar, J. Singh, Tasadduq Imam
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引用次数: 0

摘要

鱼类中毒可能会危及生命,因此可靠而准确地检测鱼类中毒的原因和鱼类中毒的类型非常重要。然而,现有的鱼中毒研究一般集中在鱼中毒领域的统计方法和特定领域。这项基于综述的研究还强调了数据挖掘在这一领域的可能性,特别是通过反映不同的数据挖掘方法如何解决与鱼中毒有关的不同不确定性问题。本文还讨论了在这种情况下使用云计算的可能性,以及在云计算架构中使用基于数据挖掘的系统可能带来的经济效益。并举例说明了数据挖掘在鱼类中毒研究领域的应用。这项工作有望指导实证研究,特别是针对斐济的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Potentials of Data Mining and Cloud Computing in the Fish Poisoning and Relevant Economic Contexts: A Conceptual Review
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.
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