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CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics: Enviados recientemente

Mostrando ítems 16-20 de 47

Investigating the impacts of street environment on pre-owned housing price in Shanghai using street-level images

Qiu, Waishan; Huang, Xiaokai; Li, Xiaojiang; Li, Wenjing; Zhang, Ziye (Editorial Universitat Politècnica de València, 2020-07-02)

[EN] Studies considering street environment quality’s impact on housing value were limited to top-down variables such as the green ratio measured from satellite maps. In contrast, this study quantified street views’ ...
Extracting User Behavior at Electric Vehicle Charging Stations with Transformer Deep Learning Models

Marchetto, Daniel; Ha, Sooji; Dharur, Sameer; Asensio, Omar (Editorial Universitat Politècnica de València, 2020-05-11)

[EN] Mobile applications have become widely popular for their ability to access real-time information. In electric vehicle (EV) mobility, these applications are used by drivers to locate charging stations in public spaces, ...
Setting Crunchbase for Data Science: Preprocessing, Data Integration and Feature Engineering

Ferrati, Francesco; Muffatto, Moreno (Editorial Universitat Politècnica de València, 2020-07-02)

[EN] In order to support equity investors in their decision-making process, researchers are exploring the potential of machine learning algorithms to predict the financial success of startup ventures. In this context, a ...
Sentiment Analysis of Twitter in Tourism Destinations

Perez Cabañero, Carmen; Bigne, Enrique; Ruiz Mafe, Carla; Cuenca, Antonio Carlos (Editorial Universitat Politècnica de València, 2020-05-12)

[EN] Given the importance of electronic word of mouth (eWOM), this paper analyses the content of messages generated by users related to a tourist destination and shared through Twitter. We propose three ...
Data granularity in mid-year life table construction

Pavia, Jose; Salazar, Natalia; Lledo, Josep (Editorial Universitat Politècnica de València, 2020-05-11)

[EN] Life tables have a substantial influence on both public pension systems and life insurance policies. National statistical agencies construct life tables from death rate estimates (𝑚��𝑥��), or death probabilities ...