作者
Iqbal H Sarker, Alan Colman, Jun Han, Asif Irshad Khan, Yoosef B Abushark, Khaled Salah
发表日期
2020/6
期刊
Mobile Networks and Applications
卷号
25
页码范围
1151-1161
出版商
Springer US
简介
This paper formulates the problem of building a context-aware predictive model based on user diverse behavioral activities with smartphones. In the area of machine learning and data science, a tree-like model as that of decision tree is considered as one of the most popular classification techniques, which can be used to build a data-driven predictive model. The traditional decision tree model typically creates a number of leaf nodes as decision nodes that represent context-specific rigid decisions, and consequently may cause overfitting problem in behavior modeling. However, in many practical scenarios within the context-aware environment, the generalized outcomes could play an important role to effectively capture user behavior. In this paper, we propose a behavioral decision tree, “BehavDT” context-aware model that takes into account user behavior-oriented generalization according to individual …
引用总数
20192020202120222023202411522412923
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