基本信息
出版地:UNITED STATES
期刊简称:BIG DATA-US
通讯地址:140 HUGUENOT STREET, 3RD FL, NEW ROCHELLE, USA, NY, 10801
创刊年份:2013
发行周期:4 issues/year
涉及方向:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS - COMPUTER SCIENCE, THEORY & METHODS
ESSN:2167-647X
英文期刊简介
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.
中文期刊简介
《Big Data》是一本由Mary Ann Liebert Inc.出版商出版的专业工程技术期刊，该刊创刊于2013年，刊期4 issues/year，该刊已被国际权威数据库SCIE收录。在中科院最新升级版分区表中，该刊分区信息为大类学科：计算机科学 4区，小类学科：计算机：跨学科应用 4区；计算机：理论方法 4区；在JCR（Journal Citation Reports）分区等级为Q1。该刊发文范围涵盖计算机：跨学科应用等领域，旨在及时、准确、全面地报道国内外计算机：跨学科应用工作者在该领域取得的最新研究成果、工作进展及学术动态、技术革新等，促进学术交流，鼓励学术创新。2021年影响因子为4.426，
