|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shaopan Li, Yiping Lin and Hong Huang
Estimating disaster relief supplies is crucial for governments coordinating and executing disaster relief operations. Rapid and accurate estimation of disaster relief supplies can assist the government to optimize the allocation of resources and better o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lei Zhou, Weiye Xiao, Chen Wang, Haoran Wang
Pág. 143 - 161
Human mobility datasets, such as traffic flow data, reveal the connections between urban spaces. A novel framework is proposed to explore the spatial association between urban commercial and residential spaces via consumption travel flows in Shanghai. A ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yuanzheng Cui, Qiuting Wang, Guixiang Zha, Yunxiao Dang, Xuejun Duan, Lei Wang and Ming Luo
The safety, inclusivity, accessibility, and green communities emphasized in the United Nations? Sustainable Development Goals (SDGs) play a vital role in the establishment of child-friendly cities. The governments are actively promoting the development o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jiangyue Wu, Jiangping Zhou
Pág. 437 - 468
Considered a total social phenomenon, mobility is at the center of intricate social dynamics in cities and serves as a reading lens to understand the whole society. With the advent of big data, the potential for using mobility as a key social analyzer wa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nirmalya Thakur
Mining and analysis of the big data of Twitter conversations have been of significant interest to the scientific community in the fields of healthcare, epidemiology, big data, data science, computer science, and their related areas, as can be seen from s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jan Sawicki, Maria Ganzha, Marcin Paprzycki and Yutaka Watanobe
As the largest open social medium on the Internet, Reddit is widely studied in the scientific literature. Due to its structured form and division into topical subfora (subreddits), conducted research often concerns connections and interactions between us...
ver más
|
|
|
|
|
|
|
|
|
|
|
P.V. Kumaraguru, Vidyavathi Kamalakkannan, Gururaj H L, Francesco Flammini, Badria Sulaiman Alfurhood and Rajesh Natarajan
Terabytes of data are now being handled by an increasing number of apps, and rapid user decision-making is hampered by data analysis. At the same time, there is a rise in interest in big data analysis for social networks at the moment. Thus, adopting dis...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alireza Alaei, Ying Wang, Vinh Bui and Bela Stantic
Social media have been a valuable data source for studying people?s opinions, intentions, and behaviours. Such a data source incorporating advanced big data analysis methods, such as machine-operated emotion and sentiment analysis, will open unprecedente...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sandulika Abesinghe, Nayomi Kankanamge, Tan Yigitcanlar and Surabhi Pancholi
The image of a city represents the sum of beliefs, ideas, and impressions that people have of that city. Mostly, city images are assessed through direct or indirect interviews and cognitive mapping exercises. Such methods consume more time and effort and...
ver más
|
|
|
|
|
|