Design of specific feature mining method in image database with small alienation
LIU Ping
WANG Xiao
LIU Chun
Abstract：Aiming at the problem that the traditional specific feature association mining method has low mining efficiency, a specific feature data mining method in the image database with small alienation based on a recommendation model was proposed. With the firefly parameter optimization method of support vector machine ( SVM) , the specific feature of image data with small alienation was extracted, and the similarity association problem was solved. The principal component analysis method was used to reduce the dimension of image feature association with small alienation, and the Laplace prediction classification method was adopted to recommend and classify the specific features of extracted image with small alienation. In addition, the specific feature after the classification was mined according to the recommended levels. The results show that the proposed mining method is superior to the traditional mining methods, and the accuracy rate and efficiency get obviously enhanced.
Keywords：firefly algorithmimage databasespecial featuremining methodLaplace predictionsupport vector machineprincipal component analysis methodrecommendation classification
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 562-566 )