用于商业智能的物联网数据可视化。

IF 2.6 4区计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Big Data Pub Date : 2024-12-01 Epub Date: 2022-02-08 DOI:10.1089/big.2021.0200

Sima Attar-Khorasani, Ricardo Chalmeta

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引用次数: 0

摘要

本研究通过对文献进行系统性回顾，为物联网数据可视化在商业智能流程中的应用这一学者们日益关注的领域的研究做出了贡献。本研究共获得并比较了过去 11 年间发表的 237 篇文章。这样就有可能找出贡献最大、最有影响力的作者、国家、出版商、机构、论文和研究成果，以及当前研究面临的挑战。基于这些结果，本作品提出了四个研究类别（技术基础架构、案例、最终用户体验和大数据工具），并介绍了这些研究流的长期发展及其未来的研究方向，从而提供了对该领域的透彻见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Internet of Things Data Visualization for Business Intelligence.

This study contributes to the research on Internet of Things data visualization for business intelligence processes, an area of growing interest to scholars, by conducting a systematic review of the literature. A total of 237 articles published over the past 11 years were obtained and compared. This made it possible to identify the top contributing and most influential authors, countries, publishers, institutions, papers, and research findings, together with the challenges facing current research. Based on these results, this work provides a thorough insight into the field by proposing four research categories (Technology infrastructure, Case examples, Final-user experience, and Big Data tools), together with the development of these research streams over time and their future research directions.

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来源期刊

Big Data COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS

CiteScore

9.10

自引率

2.20%

发文量

期刊介绍： 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.