Open AccessOptimization of Multi-Dimensional Association Rule Mining Algorithm Studies the Spatial Form of Cultural Landscape Heritage
Author(s) -
Qingtao Dong
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1992/2/022045
Subject(s) - association rule learning , cultural heritage , association (psychology) , computer science , cultural landscape , geography , data mining , data science , archaeology , epistemology , philosophy
The research on the spatial form of cultural landscape heritage is an important link in the protection of cultural landscape heritage. The optimization of the research by using multidimensional association rules algorithm can improve the efficiency of the research on the spatial form of cultural landscape heritage. This paper first explains the development and classification of the concept of cultural landscape and the concept and classification of data mining, and discusses the optimization of multi-dimensional association rule mining algorithm to study the spatial form of cultural landscape heritage, so as to provide readers with reference.