河北水利电力学院学报2024，Vol.34Issue(4)：56-60,5.DOI:10.16046/j.cnki.issn2096-5680.2024.04.010
基于改进Apriori算法下关联特征挖掘的文创产品开发系统
Cultural and Creative Product Design Based on Improved Apriori Algorithm for Cultural Association Feature Mining
摘要
Abstract
In order to develop innovative cultural and creative products and improve the design efficien-cy of cultural and creative products,a product development system of cultural and creative correlation fea-ture mining is designed with the support of improved Apriori algorithm.The system is composed of Apriori algorithm feature correlation module and product design module to improve the mining of cultural and crea-tive feature correlation.The former excavates the correlative features of product design from the cultural information;the latter uses Boolean matrix and support adaptive updating strategy to improve Apriori al-gorithm and mining accurate correlation features of cultural and creative products.Designers design cultur-al and creative products through this feature and correlation.The experimental results show that the sys-tem can accurately mine cultural features and obtain the correlation between cultural features,and the ac-curacy rate of product design is greater than 0.90,the highest recall rate can reach 0.96,and the audience satisfaction evaluation is good.The system has good effect in developing cultural and creative products and has practical application value.关键词
关联特征/Apriori算法/布尔矩阵/支持度/文创产品Key words
correlation feature/Apriori algorithm/Boolean matrix/support degree/cultural and crea-tive products分类
通用工业技术引用本文复制引用
吴定丙..基于改进Apriori算法下关联特征挖掘的文创产品开发系统[J].河北水利电力学院学报,2024,34(4):56-60,5.基金项目
2020年度安徽省省级质量工程重点项目(2020jyxm2174) （2020jyxm2174）
2019年度羌湖职业技术学院人文社科及自然科学研究重点项目(Wzyrwzd201908) （Wzyrwzd201908）
