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Onur Dogan, Ejder Ayçin, Zeki Atil Bulut
Pág. 1 - 19
In today?s business environment companies should need better understanding on customers? data. Detecting similarities and differences among customers, predicting their behaviors, proposing better options and opportunities to customers, etc. became very i...
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Fatima Jafar Muhdher, Osama Ahmed Abulnaja and Fatmah Abdulrahman Baothman
The Cultural Crowd?Artificial Neural Network (CC-ANN) takes the cultural dimensions of a crowd into account, based on Hofstede Cultural Dimensions (HCDs), to predict social and physical behavior concerning cohesion, collectivity, speed, and distance. Thi...
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Xiang Zhang, Yuchuan Zhou and Lianying Li
Recognizing vessel navigation patterns plays a vital role in understanding maritime traffic behaviors, managing and planning vessel activities, spotting outliers, and predicting traffic. However, the growth in trajectory data and the complexity of mariti...
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Francisco Serrano, Franco D. Berdun, Marcelo G. Armentano
Pág. 82 - 94
The analysis of group dynamics is extremely useful for understanding and predicting the performance of teamwork?s, since in this context, collaboration problems can naturally arise. Artificial intelligence, and specially machine learning techniques, enab...
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