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Big Data Mining and Analytics
CSCD 卓越期刊 中科院1区 JCR:Q1 ESCI EI IEEE CSTPCD
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： 双月刊
- 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
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封面
2026年2期
共：20篇Long CuiYongbin LiuChunping OuyangYing YuJiangtao ZhangYaping WanFei Yang
Rongfeng ZhaoAimin DuMobing CaiZhongpan ZhuBin He
Bowen DongWenjun WangXueli LiuYuejun WangDan Yin
Tingjia ShenHao WangChuan QinRuijun SunYang SongDefu LianHengshu ZhuEnhong Chen
Jibing GongXiaohan FangWenhai ZhuJiquan PengLin WangMengpan ChenJiangtao ZhangJie Tang
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