J. Nahar, Kunal Kumar, A. Prasad, Neeraj Anand Sharma, Almaz Khan, Swetha Singh, Shinal Shania, Ashrita Kumar, J. Singh, Tasadduq Imam
{"title":"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","authors":"J. Nahar, Kunal Kumar, A. Prasad, Neeraj Anand Sharma, Almaz Khan, Swetha Singh, Shinal Shania, Ashrita Kumar, J. Singh, Tasadduq Imam","doi":"10.1109/APWC-ON-CSE.2016.048","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":353588,"journal":{"name":"2016 3rd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"59 11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Potentials of Data Mining and Cloud Computing in the Fish Poisoning and Relevant Economic Contexts: A Conceptual Review\",\"authors\":\"J. Nahar, Kunal Kumar, A. Prasad, Neeraj Anand Sharma, Almaz Khan, Swetha Singh, Shinal Shania, Ashrita Kumar, J. Singh, Tasadduq Imam\",\"doi\":\"10.1109/APWC-ON-CSE.2016.048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":353588,\"journal\":{\"name\":\"2016 3rd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)\",\"volume\":\"59 11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 3rd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APWC-ON-CSE.2016.048\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APWC-ON-CSE.2016.048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.