Big Data

杂志介绍

Big Data杂志介绍

《Big Data》是一本以English为主的未开放获取国际优秀期刊，中文名称大数据，本刊主要出版、报道计算机科学-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS领域的研究动态以及在该领域取得的各方面的经验和科研成果，介绍该领域有关本专业的最新进展，探讨行业发展的思路和方法，以促进学术信息交流，提高行业发展。该刊已被国际权威数据库SCIE收录，为该领域相关学科的发展起到了良好的推动作用，也得到了本专业人员的广泛认可。该刊最新影响因子为2.6，最新CiteScore 指数为9.1。

本刊近期中国学者发表的论文主要有：

• Indirect Category Data Transfer Learning Algorithm using Regularization Discrimination

  Author: Liu, Gang; Li, Xiaofeng; Liu, Wangyang

• Bayesian Method for Water Quality Emergency Monitoring in Environmental Pollution Accident Disposal

  Author: Ren, Jia; Wang, Xu; Li, Guangfu

• An Unsupervised Feature Extraction Approach Based on Self-Expression

  Author: Qu, Hongchun; Zheng, Yangqi; Li, Lin; Guo, Fei

• Identification of Potential Cooperation Relationships Among Scientists

  Author: Nian, Fuzhong; Qian, Yinuo; Yao, Yabing

英文介绍

Big Data杂志英文介绍

Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. The Journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions.

Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government.

Big Data coverage includes:

Big data industry standards,

New technologies being developed specifically for big data,

Data acquisition, cleaning, distribution, and best practices,

Data protection, privacy, and policy,

Business interests from research to product,

The changing role of business intelligence,

Visualization and design principles of big data infrastructures,

Physical interfaces and robotics,

Social networking advantages for Facebook, Twitter, Amazon, Google, etc,

Opportunities around big data and how companies can harness it to their advantage.