A look trough methods of intellectual data analysis and their applying in informational systems

N. Boyko
{"title":"A look trough methods of intellectual data analysis and their applying in informational systems","authors":"N. Boyko","doi":"10.1109/STC-CSIT.2016.7589901","DOIUrl":null,"url":null,"abstract":"Concepts of data mining, database and data warehouse are reviewed in this article. An analogy between data warehouse and database are drawn. Attributes of data warehouse, its architecture and work mechanisms are described. Data warehouse architecture is highlighted. Concept of meta data is pointed out. Approaches and variations of data mining are reviewed. Tools and methods of data mining are described. Approaches to methods of data analysis are summarised. Analysis of data mining methods is submitted.","PeriodicalId":433594,"journal":{"name":"2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STC-CSIT.2016.7589901","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18

Abstract

Concepts of data mining, database and data warehouse are reviewed in this article. An analogy between data warehouse and database are drawn. Attributes of data warehouse, its architecture and work mechanisms are described. Data warehouse architecture is highlighted. Concept of meta data is pointed out. Approaches and variations of data mining are reviewed. Tools and methods of data mining are described. Approaches to methods of data analysis are summarised. Analysis of data mining methods is submitted.
智能数据分析方法及其在信息系统中的应用
本文综述了数据挖掘、数据库和数据仓库的概念。在数据仓库和数据库之间进行了类比。描述了数据仓库的属性、体系结构和工作机制。重点介绍了数据仓库体系结构。提出了元数据的概念。回顾了数据挖掘的方法和变化。介绍了数据挖掘的工具和方法。总结了数据分析方法的方法。对数据挖掘方法进行了分析。
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