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Tianyuan Zhang, Sérgio Moro and Ricardo F. Ramos
Numerous valuable clients can be lost to competitors in the telecommunication industry, leading to profit loss. Thus, understanding the reasons for client churn is vital for telecommunication companies. This study aimed to develop a churn prediction mode...
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Diogo E. Moreira da Silva, Eduardo J. Solteiro Pires, Arsénio Reis, Paulo B. de Moura Oliveira and João Barroso
In Portugal, the dropout rate of university courses is around 29%. Understanding the reasons behind such a high desertion rate can drastically improve the success of students and universities. This work applies existing data mining techniques to predict ...
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Evangelos Rozos, Panayiotis Dimitriadis and Vasilis Bellos
Machine learning has been employed successfully as a tool virtually in every scientific and technological field. In hydrology, machine learning models first appeared as simple feed-forward networks that were used for short-term forecasting, and have evol...
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Stina Saarinen, Hüseyin Emre Ilgin, Markku Karjalainen and Teemu Hirvilammi
This article provides a comprehensive understanding of small house practices, including the perspective of Finnish architectural experts, by conducting semi-structured in-depth interviews and proposing an individually designed house case study with a par...
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Ana Maria Bueno, Antonio Augusto de Paula Xavier and Evandro Eduardo Broday
The thermal environment is one of the main factors that influence thermal comfort and, consequently, the productivity of occupants inside buildings. Throughout the years, research has described the connection between thermal comfort and productivity. Mat...
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