A study of rainfall over India using data mining

Chowdari K.K, R. Girisha, K. C. Gouda
{"title":"A study of rainfall over India using data mining","authors":"Chowdari K.K, R. Girisha, K. C. Gouda","doi":"10.1109/ERECT.2015.7498985","DOIUrl":null,"url":null,"abstract":"The data mining techniques are employed for efficient and real time analysis of Weather and Climate data. The main goal of studies on Climate is that users e.g. farmers, Scientist, decision & policy maker etc., from different industries e.g. Agriculture, Scientific, Aerospace etc., is required to understand the importance of various changes in weather and climate parameters like rainfall, humidity, temperature etc. Data unearthing from different sources both in temporal and spatial domains is critical for climate studies and also its impact on different verticals like health, water, energy etc. However, with the advancement in technology and availability of global Geo -graphical data, provides the data miners a new opportunities all together. This paper provides a better understanding of the weather and climate data using spatial - temporal mining. In the present work the development of novel algorithms to study the different mining techniques for weather and climate change studies will be carried out with the several case studies like rainfall analysis and simulation, cyclone analysis and simulation and temperature analysis and simulation etc.","PeriodicalId":140556,"journal":{"name":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ERECT.2015.7498985","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

Abstract

The data mining techniques are employed for efficient and real time analysis of Weather and Climate data. The main goal of studies on Climate is that users e.g. farmers, Scientist, decision & policy maker etc., from different industries e.g. Agriculture, Scientific, Aerospace etc., is required to understand the importance of various changes in weather and climate parameters like rainfall, humidity, temperature etc. Data unearthing from different sources both in temporal and spatial domains is critical for climate studies and also its impact on different verticals like health, water, energy etc. However, with the advancement in technology and availability of global Geo -graphical data, provides the data miners a new opportunities all together. This paper provides a better understanding of the weather and climate data using spatial - temporal mining. In the present work the development of novel algorithms to study the different mining techniques for weather and climate change studies will be carried out with the several case studies like rainfall analysis and simulation, cyclone analysis and simulation and temperature analysis and simulation etc.
使用数据挖掘对印度降雨的研究
利用数据挖掘技术对天气和气候数据进行高效、实时的分析。气候研究的主要目标是,来自农业、科学、航空航天等不同行业的用户,如农民、科学家、决策者等,需要了解天气和气候参数(如降雨、湿度、温度等)各种变化的重要性。在时间和空间领域从不同来源发掘的数据对于气候研究及其对健康、水、能源等不同垂直领域的影响至关重要。然而,随着技术的进步和全球地理数据的可用性,为数据挖掘者提供了一个新的机会。本文利用时空挖掘技术对天气和气候数据提供了更好的理解。在目前的工作中,将开发新的算法来研究用于天气和气候变化研究的不同采矿技术,并进行几个案例研究,如降雨分析和模拟,气旋分析和模拟以及温度分析和模拟等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:604180095
Book学术官方微信