66   Artículos

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en línea
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
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Aidi Li, Zhijie Xu, Jianqin Zhang, Taizeng Li, Xinyue Cheng and Chaonan Hu    
With the rapid growth of trajectory big data, there is a need for more efficient methods to extract, analyze, and visualize these data. However, existing research on trajectory big data visualization mainly focuses on displaying trajectories for a specif... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
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 ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
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... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Zebang Liu, Luo Chen, Anran Yang, Mengyu Ma and Jingzhi Cao    
In the big data era, rapid visualization of large-scale vector data has become a serious challenge in Geographic Information Science (GIS). To fill the gap, we propose HiIndex, a spatial index that enables real-time and interactive visualization of large... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Kimon Deligiannis, Paraskevi Raftopoulou, Christos Tryfonopoulos, Nikos Platis and Costas Vassilakis    
Advancements in cultural informatics have significantly influenced the way we perceive, analyze, communicate and understand culture. New data sources, such as social media, digitized cultural content, and Internet of Things (IoT) devices, have allowed us... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Dylan Rees, Richard C. Roberts, Roberts S. Laramee, Paul Brookes, Tony D?Cruze and Gary A. Smith    
The contact center industry represents a large proportion of many country?s economies. For example, 4% of the entire United States and UK?s working population is employed in this sector. As in most modern industries, contact centers generate gigabytes of... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Piriziwè Kobina, Thierry Duval and Laurent Brisson    
In this paper, we present a new egocentric metaphor for graph visualization that consists in positioning a graph between two concentric spheres of different radii. It improves the expansion of nodes in space, contrary to 3D spatialization algorithms. The... ver más
Revista: Information    Formato: Electrónico

 
en línea
Xiaochuang Yao, Guojiang Yu, Guoqing Li, Shuai Yan, Long Zhao and Dehai Zhu    
The advent of the era of big remote sensing data has transformed traditional data management and analysis models, among which visualization analysis has gradually become an effective method, and map tiles for remote sensing data have always played an imp... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Qi Liu, Hidayat Ullah, Wanggen Wan, Zhangyou Peng, Li Hou, Tong Qu and Saqib Ali Haidery    
Green areas or parks are the best way to encourage people to take part in physical exercise. Traditional techniques of researching the attractiveness of green parks, such as surveys and questionnaires, are naturally time consuming and expensive, with les... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Candan Eylül Kilsedar and Maria Antonia Brovelli    
The focus of this research is addressing a subset of the geovisualization (i.e., geographic visualization) challenges identified in the literature, namely multidimensional vector and raster geospatial data visualization. Moreover, the work implements an ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Ziyi Wang, Debin Ma, Ru Pang, Fan Xie, Jingxiang Zhang and Dongqi Sun    
Social Media Big Data (SMBD) is widely used to serve the economic and social development of human beings. However, as a young research and practice field, the understanding of SMBD in academia is not enough and needs to be supplemented. This paper took W... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Tomá? Rezník, Petr Kubícek, Luká? Herman, Tomá? Pavelka, ?imon Leitgeb, Martina Klocová and Filip Leitner    
Detailed measurements of yield values are becoming a common practice in precision agriculture. Field harvesters generate point Big Data as they provide yield measurements together with dozens of complex attributes in a frequency of up to one second. Such... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ramya Akula and Ivan Garibay    
Social networking platforms connect people from all around the world. Because of their user-friendliness and easy accessibility, their traffic is increasing drastically. Such active participation has caught the attention of many research groups that are ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Revista: Sustainability    Formato: Electrónico

 
en línea
Yuh-Shan Ho    
Liao et al. [...]
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Jun Wang, Alla Zelenyuk, Dan Imre and Klaus Mueller    
While big data is revolutionizing scientific research, the tasks of data management and analytics are becoming more challenging than ever. One way to remit the difficulty is to obtain the multilevel hierarchy embedded in the data. Knowing the hierarchy e... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Sizhe Wang, Wenwen Li and Feng Wang    
The world is undergoing rapid changes in its climate, environment, and ecosystems due to increasing population growth, urbanization, and industrialization. Numerical simulation is becoming an important vehicle to enhance the understanding of these change... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Antoni Artigues,Fernando Martin Cucchietti,Carlos Tripiana Montes,David Vicente,Hadrien Calmet,Guillermo Marin,Guillaume Houzeaux,Mariano Vazquez     Pág. 4 - 18
We designed and implemented a parallel visualisation system for the analysis of large scale time-dependent particle type data. The particular challenge we address is how to analyse a high perfor- mance computation style dataset when a visual representati... ver más
Revista: Supercomputing Frontiers and Innovations    Formato: Electrónico

 
en línea
Peng Mi, Maoyuan Sun, Moeti Masiane, Yong Cao and Chris North    
This paper presents the Animated VISualization Tool (AVIST), an exploration-oriented data visualization tool that enables rapidly exploring and filtering large time series multidimensional datasets. AVIST highlights interactive data exploration by reveal... ver más
Revista: Informatics    Formato: Electrónico

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