A scheme for high level data classification using random walk and network measures.

Thiago Henrique Cupertino,Murillo Guimarães Carneiro,Qiusheng Zheng,Junbao Zhang,Liang Zhao

Expert Systems with Applications（2018）

Cited 24|Views36

No score

Abstract

•A new network-based classification technique is proposed.•It considers the structural pattern formation of each data class.•Physical data features and structural information are combined to characterize data.•This mixed information improved classification accuracy.

Translated text

Key words

Supervised learning,Data classification,Network-based learning,High level classification,Markov chain,Random walk,Limiting probabilities,Steady states

AI Read Science

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper

Chat Paper

Summary is being generated by the instructions you defined