面向非专业矿工的知识提取系统

P. Ramya, S. Mohanavalli, S. Sasirekha
{"title":"面向非专业矿工的知识提取系统","authors":"P. Ramya, S. Mohanavalli, S. Sasirekha","doi":"10.1109/CNT.2014.7062745","DOIUrl":null,"url":null,"abstract":"Argo is a global array of 3,000 free-drifting profiling floats that will measure the temperature, pressure and salinity of the upper 2000 m of the ocean. This will allow continuous monitoring of the climate state of the ocean, with all data being relayed and made publicly available within hours after collection. Conceptually, Argo builds on the existing upper-ocean thermal networks, extending their spatial and temporal coverage, depth range and accuracy, and enhancing them through addition of salinity and velocity measurements. Also the float reads its latitude and longitude values. All these information in combination called as dataset and processed with some pre-processing and mining strategies. Pre-processing technique allows to extract the features that are required to define the ocean behaviour. Mining defines the similar patterns present in the dataset. Extracted pattern describes the behaviour of saline water by giving the tsunami alerts and PFZ's.","PeriodicalId":347883,"journal":{"name":"2014 International Conference on Communication and Network Technologies","volume":"15 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Knowledge extracting system for non-expert miners\",\"authors\":\"P. Ramya, S. Mohanavalli, S. Sasirekha\",\"doi\":\"10.1109/CNT.2014.7062745\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Argo is a global array of 3,000 free-drifting profiling floats that will measure the temperature, pressure and salinity of the upper 2000 m of the ocean. This will allow continuous monitoring of the climate state of the ocean, with all data being relayed and made publicly available within hours after collection. Conceptually, Argo builds on the existing upper-ocean thermal networks, extending their spatial and temporal coverage, depth range and accuracy, and enhancing them through addition of salinity and velocity measurements. Also the float reads its latitude and longitude values. All these information in combination called as dataset and processed with some pre-processing and mining strategies. Pre-processing technique allows to extract the features that are required to define the ocean behaviour. Mining defines the similar patterns present in the dataset. Extracted pattern describes the behaviour of saline water by giving the tsunami alerts and PFZ's.\",\"PeriodicalId\":347883,\"journal\":{\"name\":\"2014 International Conference on Communication and Network Technologies\",\"volume\":\"15 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Communication and Network Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNT.2014.7062745\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Communication and Network Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNT.2014.7062745","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

Argo是一个由3000个自由漂流剖面浮标组成的全球阵列,将测量海洋2000米以上的温度、压力和盐度。这将允许对海洋气候状况进行持续监测,所有数据在收集后数小时内被转发并公开。从概念上讲,Argo建立在现有的上层海洋热网络的基础上,扩展了它们的空间和时间覆盖范围、深度范围和精度,并通过增加盐度和速度测量来增强它们。此外,浮动读取其纬度和经度值。所有这些信息组合在一起称为数据集,并通过一些预处理和挖掘策略进行处理。预处理技术允许提取定义海洋行为所需的特征。挖掘定义数据集中出现的类似模式。提取的模式通过给出海啸警报和PFZ来描述咸水的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge extracting system for non-expert miners
Argo is a global array of 3,000 free-drifting profiling floats that will measure the temperature, pressure and salinity of the upper 2000 m of the ocean. This will allow continuous monitoring of the climate state of the ocean, with all data being relayed and made publicly available within hours after collection. Conceptually, Argo builds on the existing upper-ocean thermal networks, extending their spatial and temporal coverage, depth range and accuracy, and enhancing them through addition of salinity and velocity measurements. Also the float reads its latitude and longitude values. All these information in combination called as dataset and processed with some pre-processing and mining strategies. Pre-processing technique allows to extract the features that are required to define the ocean behaviour. Mining defines the similar patterns present in the dataset. Extracted pattern describes the behaviour of saline water by giving the tsunami alerts and PFZ's.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信