- 首页
- 产品推荐个人精选服务科研辅助服务教育大数据服务行业精选服务学科系列服务产品服务
- 期刊大全
- 充值
- 会员
- 职称材料
- 首页
- 产品服务
- 知识脉络
- 期刊大全
- 充值
- 会员
- 职称材料
搜期刊
刊名
文献信息
- 任意字段
- 主题词
- 篇关摘
- 篇名
- 关键词
- 摘要
- 作者
- 第一作者
- 作者单位
- 刊名
- 中图分类号
- 学科分类号
- DOI
- 基金
投稿预审
Big Data Mining and Analytics
CSCD 卓越期刊 中科院1区 JCR:Q1 ESCI EI IEEE
Big data are datasets whose size is beyond the ability of commonly used algorithms and computing systems to capture, manage, and process the data within a reasonable time.Big Data Mining and Analytics discovers hidden patterns, correlations, insights and knowledge through mining and analyzing large amounts of data obtained from various applications.Big data come from many applications such as social media, sensors, Internet of Things, scientific applications, surveillance, video and image archives. With today’s technology in storage and computing and many newly invented statistical methods, data mining and machine learning algorithms such as deep learning, it is possible to analyze data and get good answers from them quickly.Big Data Mining and Analytics addresses the most innovative developments, research issues and solutions in big data research and their applications.
- 主管单位： 教育部
- 主办单位： 清华大学
- 出版地区： 北京市
- 出版周期： 季刊
- 别名： BIG DATA MIN ANAL;Big Data Min. Anal.;大数据挖掘与分析(英文);BIG DATA MINING AND ANALYTICS
- 国内统一连续出版物号： CN 10-1514/G2
- 国际标准连续出版物号/电子版： ISSN 2096-0654 / EISSN 2097-406X
- 创刊时间： 2018年
热门主题：
Data Mining and AnalyticsBig Data MiningBig DataScientific AchievementsDeep LearningAcademic JournalMachine LearningCall for PapersSpecial IssueLarge Language ModelsArtificial IntelligenceAttention MechanismInternet of ThingsNatural Language ProcessingFederated LEARNINGSocial IntelligenceData MiningBig Data AnalyticsLarge Language ModelCollaborative Filtering
期刊信息
- 主管单位：教育部
- 主办单位：清华大学
- 主 编：潘毅;郑纬民
- 地 址： 北京市
- 邮政编码：100084
- 单 价：200.00
- 电 话： 010-83470494
期刊简介
Big data are datasets whose size is beyond the ability of commonly used algorithms and computing systems to capture, manage, and process the data within a reasonable time.Big Data Mining and Analytics discovers hidden patterns, correlations, insights and knowledge through mining and analyzing large amounts of data obtained from various applications.Big data come from many applications such as social media, sensors, Internet of Things, scientific applications, surveillance, video and image archives. With today’s technology in storage and computing and many newly invented statistical methods, data mining and machine learning algorithms such as deep learning, it is possible to analyze data and get good answers from them quickly.Big Data Mining and Analytics addresses the most innovative developments, research issues and solutions in big data research and their applications.
获奖情况
- CCF计算领域高质量期刊2022