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期刊名
Big Data
BIG DATA-US
ISSN / eISSN
2167-6461 / 2167-647X
目标和范围
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.
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.
研究方向
计算机：跨学科应用
计算机：理论方法
CiteScore
9.10
查看趋势图
CiteScore 学科排名
| 类别 | 分区 | 排名 |
|---|---|---|
| Decision Sciences - Information Systems and Management | Q1 | #22/148 |
| Decision Sciences - Computer Science Applications | Q1 | #124/817 |
| Decision Sciences - Information Systems | Q1 | #67/394 |
Web of Science 核心收藏夹
| Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
|---|---|
| Indexed | - |
| 类别 (Journal Citation Reports 2024) | 分区 |
|---|---|
| COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | Q2 |
| COMPUTER SCIENCE, THEORY & METHODS | Q2 |
H-index
17
出版国家或地区
UNITED STATES
出版商
Mary Ann Liebert Inc.
年文章数
50
Open Access
NO
通讯方式
140 HUGUENOT STREET, 3RD FL, NEW ROCHELLE, USA, NY, 10801
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