Big Data 期刊简介

Big Data
英文简介:

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.

中文简介:(来自Google、百度翻译)

大数据是领先的同行评审期刊,涵盖了收集,分析和传播大量数据的挑战和机遇。该期刊解决了围绕这一强大且不断发展的数据科学领域的问题,并促进了研究人员,业务经理,分析师,开发人员,数据科学家,物理学家,统计学家,基础设施开发人员,学者和政策制定者的努力,以改善运营,盈利能力,以及他们的业务和机构内部的沟通。
该杂志涵盖了广泛的学科,专注于新颖的大数据技术、政策和创新,汇集了社区,以应对当前的挑战,并有效地组织、存储、传播、保护、操纵和,最重要的是,找到最有效的策略,使这些令人难以置信的信息量发挥作用,使社会,行业,学术界和政府受益。
大数据覆盖范围包括:
大数据行业标准,
专为大数据开发的新技术,
数据采集、清理、分发和最佳实践,
数据保护、隐私和政策,
从研究到产品的商业兴趣,
商业智能的角色变化,
大数据基础架构的可视化和设计原则,
物理界面和机器人技术,
Facebook,Twitter,亚马逊,谷歌等的社交网络优势,
围绕大数据的机会以及公司如何利用它来发挥自己的优势。

期刊ISSN
2167-6461
影响指数
2.107
最新CiteScore值
6.20 查看CiteScore评价数据
最新自引率
12.00%
官方指定润色网址
https://www.deeredit.com/?type=ss1
投稿语言要求

Improve the quality of the paper, eliminate grammar and spelling errors, increase readability, ensure accurate communication of viewpoints, enhance academic reputation, and increase the chances of the paper being accepted.

建议点击这个网址:https://www.deeredit.com/?type=ss2,资深审稿专家为您评估稿件质量,提供针对性改进建议,最终可助您极大提升目标期刊录用率

期刊官方网址

hot

https://www.peipusci.com/?type=9
杂志社征稿网址

hot

https://www.peipusci.com/?type=10
通讯地址
140 HUGUENOT STREET, 3RD FL, NEW ROCHELLE, USA, NY, 10801
偏重的研究方向(学科)
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-C
出版周期
出版年份
0
出版国家/地区
UNITED STATES
是否OA
No
SCI期刊coverage
Science Citation Index Expanded(科学引文索引扩展)
NCBI查询
PubMed Central (PMC)链接 全文检索(pubmed central)
Big Data 期刊中科院JCR 评价数据
最新中科院JCR分区
大类(学科)
小类(学科)
综述期刊
工程技术
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS(计算机:跨学科应用)3区 COMPUTER SCIENCE, THEORY & METHODS(计算机:理论方法)3区
最新的影响因子
2.107
最新公布的期刊年发文量
年度总发文量 研究类文章占比
41 100.00%
总被引频次 17
影响因子趋势图
近年的影响因子趋势图(整体平稳趋势)

2022年预警名单预测最新

Big Data 期刊CiteScore评价数据
最新CiteScore值
6.20
年文章数 41
SJR
0.774
SNIP
2.299
CiteScore排名
序号 类别(学科) 排名 百分位
1 Computer Science Information Systems #59/329
2 Computer Science Computer Science Applications #131/693
3 Computer Science Information Systems and Management #25/125
CiteScore趋势图
CiteScore趋势图
Big Data 投稿经验(由下方点评分析获得,0人参与,2547人阅读)
投稿录用比例: 0.001000
审稿速度: 暂无
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