雜志介紹

Journal Of Big Data雜志介紹

《Journal Of Big Data》是一本(ben)(ben)(ben)以(yi)(yi)English為(wei)主的(de)(de)(de)(de)開放獲取國際(ji)優秀期(qi)刊(kan)(kan)，中文(wen)名(ming)稱大數(shu)據雜志，本(ben)(ben)(ben)刊(kan)(kan)主要(yao)出版、報道計算機(ji)科學(xue)-COMPUTER SCIENCE, THEORY & METHODS領域(yu)的(de)(de)(de)(de)研(yan)究動態以(yi)(yi)及(ji)在該(gai)領域(yu)取得(de)的(de)(de)(de)(de)各方(fang)面的(de)(de)(de)(de)經驗和科研(yan)成果，介紹(shao)該(gai)領域(yu)有關本(ben)(ben)(ben)專業的(de)(de)(de)(de)最(zui)(zui)新(xin)進(jin)展(zhan)，探討(tao)行(xing)業發展(zhan)的(de)(de)(de)(de)思路和方(fang)法，以(yi)(yi)促進(jin)學(xue)術信息(xi)交流，提高行(xing)業發展(zhan)。該(gai)刊(kan)(kan)已被國際(ji)權(quan)威(wei)數(shu)據庫SCIE收(shou)錄，為(wei)該(gai)領域(yu)相關學(xue)科的(de)(de)(de)(de)發展(zhan)起到(dao)了良(liang)好的(de)(de)(de)(de)推動作用，也得(de)到(dao)了本(ben)(ben)(ben)專業人員的(de)(de)(de)(de)廣泛認可。該(gai)刊(kan)(kan)最(zui)(zui)新(xin)影響因子為(wei)8.6，最(zui)(zui)新(xin)CiteScore 指數(shu)為(wei)17.8。

本刊近期中國學者發(fa)表的(de)論(lun)文主要有：

• Click-through rate prediction model integrating user interest and multi-head attention mechanism

  Author: Zhang, Wei; Han, Yahui; Yi, Baolin; Zhang, Zhaoli

• Liquid biopsy-based identification of prognostic and immunotherapeutically relevant gene signatures in lower grade glioma

  Author: Wu, Changwu; Long, Wenyong; Qin, Chaoying; Wang, Xiangyu; Li, Yuzhe; Xiao, Kai; Li, Yue; Liu, Qing

• Early prediction of MODS interventions in the intensive care unit using machine learning

  Author: Liu, Chang; Yao, Zhenjie; Liu, Pengfei; Tu, Yanhui; Chen, Hu; Cheng, Haibo; Xie, Lixin; Xiao, Kun

• Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer

  Author: Adeoye, John; Hui, Liuling; Su, Yu-Xiong

英文介紹

Journal Of Big Data雜志英文介紹

Journal Of Big Data is an academic journal focused on the field of big data, which not only welcomes the research of deep learning algorithms, but also covers a wide range of areas of big data applications. In particular, the journal encourages in-depth investigative reports and case studies on big data technologies to facilitate the exchange of knowledge and innovation in practice.

In the wave of big data, we face many challenges, and these challenges include, but are not limited to, the capture and storage of data. With the explosive growth of data volume, how to efficiently store and manage this data has become a key issue. In addition, the search, sharing and analysis of data are also core issues in the field of big data. How to quickly and accurately extract useful information from massive data is an important direction for the development of big data technology.