A survey of mass data mining based on cloud-computing

Ting-Ting Hu, Hai-shan Chen, Lu Huang, X. Zhu
{"title":"A survey of mass data mining based on cloud-computing","authors":"Ting-Ting Hu, Hai-shan Chen, Lu Huang, X. Zhu","doi":"10.1109/ICASID.2012.6325353","DOIUrl":null,"url":null,"abstract":"Since 2007, the business calculation model-cloud computing was proposed. Promoted greatly by great companies, cloud computing is developing at a very rapid pace. With the features of mass data storage and distribution calculation of cloud computing, it provides a new method for data mining, effectively solving the problems of distribution of mass data mining and efficient storage computing. The cloud computing model brings many benefits and convenience. This paper introduces the cloud computing and data mining and then simply introduce some existing parallel data mining algorithms based on cloud computing and data mining service platforms. Finally it gives a simple description of the problems and prospects of data mining based on cloud computing.","PeriodicalId":408223,"journal":{"name":"Anti-counterfeiting, Security, and Identification","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anti-counterfeiting, Security, and Identification","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASID.2012.6325353","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 33

Abstract

Since 2007, the business calculation model-cloud computing was proposed. Promoted greatly by great companies, cloud computing is developing at a very rapid pace. With the features of mass data storage and distribution calculation of cloud computing, it provides a new method for data mining, effectively solving the problems of distribution of mass data mining and efficient storage computing. The cloud computing model brings many benefits and convenience. This paper introduces the cloud computing and data mining and then simply introduce some existing parallel data mining algorithms based on cloud computing and data mining service platforms. Finally it gives a simple description of the problems and prospects of data mining based on cloud computing.
基于云计算的海量数据挖掘研究综述
2007年开始,提出了业务计算模型——云计算。在大公司的大力推动下,云计算正以非常快的速度发展。结合云计算海量数据存储和分布式计算的特点,为数据挖掘提供了一种新的方法,有效地解决了海量数据挖掘的分布式和高效存储计算问题。云计算模型带来了许多好处和便利。本文介绍了云计算和数据挖掘,然后简单介绍了现有的一些基于云计算和数据挖掘服务平台的并行数据挖掘算法。最后对基于云计算的数据挖掘存在的问题和前景进行了简单的描述。
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:481959085
Book学术官方微信