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Heru Susanto, Aida Sari and Fang-Yie Leu
Social media is now regarded as the most valuable source of data for trend analysis and innovative business process reengineering preferences. Data made accessible through social media can be utilized for a variety of purposes, such as by an entrepreneur...
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Qingxiang Chen, Jing Chen and Wumeng Huang
Building information modeling (BIM), with detailed geometry and semantics of the indoor environment, has become an essential part of smart city development and city information modeling (CIM). However, visualizing large-scale BIM models within geographic...
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Enrique Wulff Barreiro
Pág. 45 - 64
HistCiteTM is a large-scale computer tool for mapping science. Its power of visualization combines the production of historiographs on the basis of the analysis of co-citations of documents, with the use of bibliometrics specific indicators. The objectiv...
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Thoralf Reis, Lukas Dumberger, Sebastian Bruchhaus, Thomas Krause, Verena Schreyer, Marco X. Bornschlegl and Matthias L. Hemmje
Manual labeling and categorization are extremely time-consuming and, thus, costly. AI and ML-supported information systems can bridge this gap and support labor-intensive digital activities. Since it requires categorization, coding-based analysis, such a...
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Thoralf Reis, Alexander Kreibich, Sebastian Bruchhaus, Thomas Krause, Florian Freund, Marco X. Bornschlegl and Matthias L. Hemmje
The increasing availability of vast quantities of data from various sources significantly impacts the insurance industry, although this industry has always been data driven. It accelerates manual processes and enables new products or business models. On ...
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Leny Vinceslas, Safak Dogan, Srikumar Sundareshwar and Ahmet M. Kondoz
By design, distributed ledger technologies persist low-level data, which makes conducting complex business analysis of the recorded operations challenging. Existing blockchain visualization and analytics tools such as block explorers tend to rely on this...
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Hyowon Ban and Hye-jin Kim
This research is a pilot study to develop a maritime traffic control system that supports the decision-making process of control officers, and to evaluate the usability of a prototype tool developed in this study. The study analyzed the movements of mult...
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Samiha Fadloun, Souham Meshoul, Mahmood Hosseini, Abdennour Amokrane and Hichem Bennaceur
Access to corporate information systems by consumers via the Internet has increased dramatically over the past several decades. In a separate organization, extensive research has been conducted on the free flow of information generated by both external a...
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Evandro S. Ortigossa, Fábio Felix Dias and Diego Carvalho do Nascimento
The exploration and analysis of multidimensional data can be pretty complex tasks, requiring sophisticated tools able to transform large amounts of data bearing multiple parameters into helpful information. Multidimensional projection techniques figure a...
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Christofer Meinecke, Ahmad Dawar Hakimi and Stefan Jänicke
Detecting references and similarities in music lyrics can be a difficult task. Crowdsourced knowledge platforms such as Genius. can help in this process through user-annotated information about the artist and the song but fail to include visualizations t...
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Thoralf Reis, Tim Funke, Sebastian Bruchhaus, Florian Freund, Marco X. Bornschlegl and Matthias L. Hemmje
Climate change means coping directly or indirectly with extreme weather conditions for everybody. Therefore, analyzing meteorological data to create precise models is gaining more importance and might become inevitable. Meteorologists have extensive doma...
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In Lee
To address rapidly growing data breach incidents effectively, healthcare providers need to identify various insider and outsider threats, analyze the vulnerabilities of their internal security systems, and develop more appropriate data security measures ...
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Bin Yang, Zhihan Lv and Faming Wang
At present, the integration of green building, the intelligent building industry and high-quality development are facing a series of new opportunities and challenges. This review aims to analyze the digital development of smart green buildings to make it...
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Pierre Vanhulst, Raphaël Tuor, Florian Évéquoz and Denis Lalanne
Annotations produced by analysts during the exploration of a data visualization are a precious source of knowledge. Harnessing this knowledge requires a thorough structure of annotations, but also a means to acquire them without harming user engagement. ...
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Zhansheng Liu and Wenyan Bai
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Wen-Tien Hsiao, Wen-Chi Kuo, Hsin-Hon Lin and Lu-Han Lai
Digital radiography (DR) is a mature technology and has been broadly used in medical diagnosis. Currently, it?s also used for fruit quality inspection in the market. This purpose of the study is to conduct non-destructive experiments for visual compariso...
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Andrea Vázquez-Ingelmo, Francisco José García-Peñalvo and Roberto Therón
Data are crucial to improve decision-making and obtain greater benefits in any type of activity. However, the large amount of information generated by new technologies has made data analysis and knowledge generation a complex task. Numerous tools have em...
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Luis Pastor, Sofia Bayona, Juan P. Brito, María Cuevas, Isabel Fernaud, Sergio Emilio Galindo, Juan José García-Cantero, Francisco González de Quevedo, Susana Mata, Oscar David Robles, Angel Rodríguez, Pablo Toharia and Ana Zdravkovic
The complexity of the human brain makes its understanding one of the biggest challenges that science is currently confronting. Due to its complexity, the brain has been studied at many different levels and from many disciplines and points of view, using ...
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Erum Haris and Keng Hoon Gan
Travel blogs are a significant source for modeling human travelling behavior and characterizing tourist destinations owing to the presence of rich geospatial and thematic content. However, the bulk of unstructured text requires extensive processing for a...
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Elliott M. Holmes, Andrea E. Gaughan, Donald J. Biddle, Forrest R. Stevens and Jafar Hadizadeh
Core samples obtained from scientific drilling could provide large volumes of direct microstructural and compositional data, but generating results via the traditional treatment of such data is often time-consuming and inefficient. Unifying microstructur...
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