The Review on Data Mining Techniques and its Applications

C. Ms, M. Parimala
{"title":"The Review on Data Mining Techniques and its Applications","authors":"C. Ms, M. Parimala","doi":"10.20894/ijdmta.102.008.001.012","DOIUrl":null,"url":null,"abstract":"Data mining is a field of research which is escalating gradually. Data mining is the method of analyze data from unique views and summarization it interested in useful data. Data mining, also in general referred to like knowledge discovery from data (KDD), is the computerize or suitable extraction of patterns in place of knowledge completely stored or captured in large databases, data warehouse, the web, other vast information repositories or information streams. Data mining machine works with data warehouse and the whole process is divided into action plan to be performed on data: selection, transformation, mining and results elucidation. In this term paper, we have reviewed equal types of obedience in data mining, also make clear different areas somewhere used data mining feeling and used of it","PeriodicalId":414709,"journal":{"name":"International Journal of Data Mining Techniques and Applications","volume":"133 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Data Mining Techniques and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20894/ijdmta.102.008.001.012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Data mining is a field of research which is escalating gradually. Data mining is the method of analyze data from unique views and summarization it interested in useful data. Data mining, also in general referred to like knowledge discovery from data (KDD), is the computerize or suitable extraction of patterns in place of knowledge completely stored or captured in large databases, data warehouse, the web, other vast information repositories or information streams. Data mining machine works with data warehouse and the whole process is divided into action plan to be performed on data: selection, transformation, mining and results elucidation. In this term paper, we have reviewed equal types of obedience in data mining, also make clear different areas somewhere used data mining feeling and used of it
数据挖掘技术及其应用综述
数据挖掘是一个正在逐步升级的研究领域。数据挖掘是一种从独特的视角对数据进行分析,并从中总结出感兴趣的有用数据的方法。数据挖掘,通常也被称为从数据中发现知识(KDD),是计算机化或适当地提取模式,以取代完全存储或捕获在大型数据库、数据仓库、网络或其他庞大的信息库或信息流中的知识。数据挖掘机与数据仓库一起工作,整个过程分为对数据执行的行动计划:选择、转换、挖掘和结果说明。在这篇学期论文中,我们回顾了数据挖掘中同等类型的服从,也明确了不同领域使用数据挖掘的感觉和使用它
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