Research on the Integration of Forest Resource Archive Data Considering Multidimensional Association Rules
LI Yunjing
Abstract：In the integration of forest resource archive data,Sofax classifier is usually used to obtain data integration parameters,but it is easily affected by the fuzzy effect of correlation degree,resulting in poor coverage of retrieval resources.To address this issue,we proposed a forest resource archive data integration method based on multidimensional association rules.By using multidimensional association rules for data parameter set constraints,calculating RFM association feature indicators,and randomly searching and integrating natural numbers on the basis of data relationships consideration,the integrated fuzzy weights was obtained,and forest resource archive data association degree were outputted.Then,less frequent data was deleted,an FP tree dataset was constructed,data integration parameters were calculated,fusion association rules were accurately extracted,integration weighted averages were calculated,data fusion features were extracted,and a forest resource archive data integration center was constructed to complete teaching data cooperation of forest resource archive.After the method proposed in this article was applied,the coverage of retrieval resources under different forest resource archive data packages remained high,without large-scale retrieval fluctuations,and had high adaptability and robustness.
Keywords：multidimensional association rulesforest resourcesarchivesdata:integration
Publication Date：2025-08-28
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：5( 97-101 )