A review of research relevant to the emerging industry trends: Industry 4.0, IoT, blockchain, and business analytics

C Zhang, Y Chen - Journal of Industrial Integration and …, 2020 - World Scientific
Industry 4.0, Internet of Things, Blockchain, and Business Analytics are the hot research
topics and have attracted much attention from scholars and practitioners in recent years. In …

Big data visualization and analytics: Future research challenges and emerging applications

G Andrienko, N Andrienko, SM Drucker… - BigVis 2020: Big data …, 2020 - inria.hal.science
In the context of data visualization and analytics, this report outlines some of the challenges
and emerging applications that arise in the Big Data era. In particularly, fourteen …

Big data visualization tools

N Bikakis - arXiv preprint arXiv:1801.08336, 2018 - arxiv.org
Data visualization is the presentation of data in a pictorial or graphical format, and a data
visualization tool is the software that generates this presentation. Data visualization provides …

[图书][B] Linked data visualization: techniques, tools, and big data

L Po, N Bikakis, F Desimoni, G Papastefanatos - 2022 - books.google.com
Linked Data (LD) is a well-established standard for publishing and managing structured
information on the Web, gathering and bridging together knowledge from different scientific …

The unmet data visualization needs of decision makers within organizations

E Dimara, H Zhang, M Tory… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
When an organization chooses one course of action over alternatives, this task typically falls
on a decision maker with relevant knowledge, experience, and understanding of context …

[HTML][HTML] Guidance in the human–machine analytics process

C Collins, N Andrienko, T Schreck, J Yang, J Choo… - Visual Informatics, 2018 - Elsevier
In this paper, we list the goals for and the pros and cons of guidance, and we discuss the
role that it can play not only in key low-level visualization tasks but also the more …

Visual analytics for electromagnetic situation awareness in radio monitoring and management

Y Zhao, X Luo, X Lin, H Wang, X Kui… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Traditional radio monitoring and management largely depend on radio spectrum data
analysis, which requires considerable domain experience and heavy cognition effort and …

[HTML][HTML] A comprehensive review of tools for exploratory analysis of tabular industrial datasets

A Ghosh, M Nashaat, J Miller, S Quader, C Marston - Visual Informatics, 2018 - Elsevier
Exploratory data analysis plays a major role in obtaining insights from data. Over the last two
decades, researchers have proposed several visual data exploration tools that can assist …

Designing attentive information dashboards

P Toreini, M Langner, A Maedche… - Journal of the …, 2022 - aisel.aisnet.org
Abstract Information dashboards are a critical capability in contemporary business
intelligence and analytics systems. Despite their strong potential to support better decision …

Virtual quality gates in manufacturing systems: Framework, implementation and potential

MA Filz, S Gellrich, A Turetskyy, J Wessel… - … of Manufacturing and …, 2020 - mdpi.com
Manufacturing companies are exposed to increased complexity and competition. To stay
competitive, companies need to minimize the total cost of quality while ensuring high …