A Survey of Merging Decision Trees Data Mining Approaches

The merging of decision tree models is a topic lacking a general data mining approach that is not domain specific. Existing research address the issue under different motivations and to solve different problems. This paper presents a survey of current approaches of merging decision trees, highlighting what they share in common by presenting a general data mining approach based of the combination of rules. Although its major components and problems are abstracted, illustrative examples from the literature are provided. Possible directions of unexplored issues for future research are also discussed.