雜志介紹

Journal Of Big Data雜志介紹

《Journal Of Big Data》是一本以English為主的開放獲取國際優(yōu)秀期刊，中文名稱大數(shù)據(jù)雜志，本刊主要出版、報(bào)道計(jì)算機(jī)科學(xué)-COMPUTER SCIENCE, THEORY & METHODS領(lǐng)域的研究動(dòng)態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動(dòng)作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為8.6，最新CiteScore 指數(shù)為17.8。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• 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.