Big Data（大数据杂志）影响因子_期刊投稿发表_投稿网址官网简介-学术咨询网

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.

大数据是领先的同行评审期刊，涵盖了收集、分析和传播海量数据的挑战和机遇。该期刊致力于解决数据科学这一强大且不断发展的领域所面临的问题，并促进研究人员、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，以改善其企业和机构内部的运营、盈利能力和沟通。《大数据》杂志将社区聚集在一起，以应对当前的挑战，并有效地组织、存储、传播、保护、操纵这些信息，最重要的是，找到最有效的策略，使数量惊人的信息发挥作用，造福社会、行业、学术界和政府。《大数据》的报道内容包括：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利益;商业智能不断变化的角色;大数据基础设施的可视化和设计原则;物理接口和机器人技术; Facebook、Twitter、Amazon、Google等的社交网络优势;大数据带来的机遇以及公司如何利用大数据发挥优势。

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