Automatic Rule Generation for Decision-Making in Context-Aware Systems Using Machine Learning

Algorithm 1

Hybrid with decision tree and random tree.

(1)	Input: DS a preprocessed candidate dataset
(2)	Output: Decision trees
(3)	Begin
(4)	Apply J48 decision tree to learn on the DS and get the decision tree-based training model
(5)	Apply random tree to learn on the DS and get the random tree-based training model
(6)	Extract decision trees from both training models
(7)	End