Adaptive rules mining in ACVis based on ID3 algorithm in decision tree

The adapted objects are multi-dimensional dynamic contexts in ACVis, and many adaptive rules, the foundation of ACVis context modeling and adaptivity, are contained in the hierarchical adaptive process. It´s urgent to understand the mechanism of hierarchical adaptivity and find adaptive rules mining methods. This article introduced the definition and gave out the categorization of multi-dimensional context. Based on which, illustrated the requirement and mechanism of hierarchical adaptivity. In order to satisfy the requirement, ID3 algorithm in decision tree was adopted for hierarchical context adaptive rules mining. A case study and extended application analysis show the great efficiency of ID3 algorithm in adaptive rules mining, parameters choosing and weight determination for context modeling and model matching.