Big Data

雜志介紹

Big Data雜志介紹

《Big Data》是一本以English為主的未開放獲取國際優秀期刊，中文名稱大數據，本刊主要出版、報道計算機科學-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為2.6，最新CiteScore 指數為9.1。

本刊近期中國學者發表的論文主要有：

• 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

英文介紹

Big Data雜志英文介紹

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.