Attenuation characteristics analysis of concept tree

Abstract

Dynamic Concept-cognitive Learning (CCL) is an active field in cognitive computing. Decremented concept cognition is an important topic in dynamic CCL. As an important feature of the dynamic CCL, attenuation characteristics have been successfully visualized by concept lattice and three-dimensional attribute topology. However, the existing attenuation characteristic analysis method has limitations to the description of interaction between attributes. A method of attenuation characteristics analysis of concept tree is proposed. The coupling between nodes is discussed from the concept tree, the nodes are decremented according to the coupling relationship, and the corresponding node attenuation rules are discussed according to the different types of nodes. In this paper, the news attention is the research object. The experimental results show that the attenuation characteristic analysis scheme of the concept tree is feasible. In the process of attenuation, the effect of attribute attenuation on the concept structure can be clearly demonstrated. At the same time, the concept tree can better visualize the process of decremented news attention than the concept lattice and three-dimensional attribute topology.