A survey paper on big data analytics

M. Praveena, Dr. B. Bharathi
{"title":"A survey paper on big data analytics","authors":"M. Praveena, Dr. B. Bharathi","doi":"10.1109/ICICES.2017.8070723","DOIUrl":null,"url":null,"abstract":"In recent years, the internet application and communication have seen a lot of development and reputation in the field of Information Technology. These internet applications and communication are continually generating the large size, different variety and with some genuine difficult multifaceted structure data called big data. As a consequence, we are now in the era of massive automatic data collection, systematically obtaining many measurements, not knowing which one will be relevant to the phenomenon of interest. For example, E-commerce transactions include activities such as online buying, selling or investing. Thus they generate the data which are high in dimensional and complex in structure. The traditional data storage techniques are not adequate to store and analyses those huge volume of data. Many researchers are doing their research in dimensionality reduction of the big data for effective and better analytics report and data visualization. Hence, the aim of the survey paper is to provide the overview of the big data analytics, issues, challenges and various technologies related with Big Data.","PeriodicalId":134931,"journal":{"name":"2017 International Conference on Information Communication and Embedded Systems (ICICES)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"53","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Information Communication and Embedded Systems (ICICES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICES.2017.8070723","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 53

Abstract

In recent years, the internet application and communication have seen a lot of development and reputation in the field of Information Technology. These internet applications and communication are continually generating the large size, different variety and with some genuine difficult multifaceted structure data called big data. As a consequence, we are now in the era of massive automatic data collection, systematically obtaining many measurements, not knowing which one will be relevant to the phenomenon of interest. For example, E-commerce transactions include activities such as online buying, selling or investing. Thus they generate the data which are high in dimensional and complex in structure. The traditional data storage techniques are not adequate to store and analyses those huge volume of data. Many researchers are doing their research in dimensionality reduction of the big data for effective and better analytics report and data visualization. Hence, the aim of the survey paper is to provide the overview of the big data analytics, issues, challenges and various technologies related with Big Data.
一份关于大数据分析的调查报告
近年来,互联网的应用和通信在信息技术领域取得了很大的发展和声誉。这些互联网应用和通信正在不断地产生规模庞大、种类繁多、具有真正复杂的多面结构的数据,被称为大数据。因此,我们现在处于大量自动数据收集的时代,系统地获得许多测量值,不知道哪一个将与感兴趣的现象相关。例如,电子商务交易包括在线购买、销售或投资等活动。因此,它们产生了高维数和复杂结构的数据。传统的数据存储技术已不足以对海量数据进行存储和分析。许多研究人员正在研究如何将大数据降维,以获得更有效、更好的分析报告和数据可视化。因此,调查报告的目的是提供大数据分析,问题,挑战和与大数据相关的各种技术的概述。
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