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BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model
This paper formulates the problem of building a context-aware predictive model based on user diverse behavioral activities with smartphones.
AppsPred: Predicting Context-Aware Smartphone Apps using Random Forest Learning
Random Forest learning is one of the most popular machine learning techniques to build a multi-class prediction model.
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