14   Artículos

 
en línea
Lekshmi S. Nair, Swaminathan Jayaraman and Sai Pavan Krishna Nagam    
Link prediction finds the future or the missing links in a social?biological complex network such as a friendship network, citation network, or protein network. Current methods to link prediction follow the network properties, such as the node?s centrali... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Li Geng and Ke Zhang    
Urban planners have been long interested in understanding how urban structure and activities are mutually influenced. Human mobility and economic activities naturally drive the formation of road network structure and the accessibility of the latter shape... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Rosa María Rodriguez-Sánchez and Jorge Chamorro-Padial    
In this paper, we present a new method to measure the nodes? centrality in a multilayer network. The multilayer network represents nodes with different relations between them. The nodes have an initial relevance or importance value. Then, the node?s cent... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Michael Hopwood, Phuong Pho and Alexander V. Mantzaris    
Sampling is an important step in the machine learning process because it prioritizes samples that help the model best summarize the important concepts required for the task at hand. The process of determining the best sampling method has been rarely stud... ver más
Revista: Information    Formato: Electrónico

 
en línea
Dilek Gönçer Demiral, Nurdan Degirmenci     Pág. 060 - 075
Stock markets are one of the most important markets in the financial field. Evaluating stock data in these markets is important for investors to make decisions about portfolio diversity. At this decision point, visualizing the data and presenting it in a... ver más

 
en línea
Wenbo Zhang and Chang Xu    
This study is designed to leverage ubiquitous mobile computing techniques on exploring app-based taxi movement patterns in large cities. To study patterns at different scales, we comprehensively explore both occupied and unoccupied vehicle movement chara... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Ran Tao, Zhaoya Gong, Qiwei Ma and Jean-Claude Thill    
One of the enduring issues of spatial origin-destination (OD) flow data analysis is the computational inefficiency or even the impossibility to handle large datasets. Despite the recent advancements in high performance computing (HPC) and the ready avail... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Massimo Stella    
Early language acquisition is a complex cognitive task. Recent data-informed approaches showed that children do not learn words uniformly at random but rather follow specific strategies based on the associative representation of words in the mental lexic... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Taras Agryzkov, Francisco Pedroche, Leandro Tortosa and José F. Vicent    
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Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

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