河北水利电力学院学报

河北水利电力学院学报 ›› 2024, Vol. 34 ›› Issue (4): 56-60.DOI: 10.16046/j.cnki.issn2096-5680.2024.04.010

• 计算机应用与自动控制专题 • 上一篇    下一篇

基于改进Apriori算法下关联特征挖掘的文创产品开发系统

吴定丙   

  1. 芜湖职业技术学院艺术传媒学院,安徽省芜湖市文津西路201号 241003
  • 收稿日期:2023-11-06 修回日期:2024-05-12 出版日期:2024-12-31 发布日期:2025-01-14
  • 作者简介:吴定丙(1983-),男,安徽芜湖人,讲师,硕士,主要研究方向:产品设计。E-mail:qinzhongyukexue@163.com
  • 基金资助:
    2020年度安徽省省级质量工程重点项目(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)

Cultural and Creative Product Design Based on Improved Apriori Algorithm for Cultural Association Feature Mining

WU Dingbing   

  1. School of Art and Media, Wuhu Institute of Technology, 241003, Wuhu, Anhui, China
  • Received:2023-11-06 Revised:2024-05-12 Online:2024-12-31 Published:2025-01-14

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摘要： 为创新开发文创产品,提高文创产品设计效率,在改进Apriori算法支持下设计文创关联特征挖掘产品开发系统。系统由Apriori算法文创特征关联模块、改进文创关联特征挖掘的产品设计模块构成。前者从文化信息中初步挖掘到产品设计的关联特征;后者利用布尔矩阵和支持度自适应更新策略改进Apriori算法,挖掘到精准的文创产品关联特征;设计师通过该特征及关联关系设计文创产品。实验结果显示:系统可精准挖掘文化特征、获得文化特征间的关联关系,产品设计的准确率均大于0.90,最高召回率可达0.96,受众满意度评价良好。该系统开发文创产品的效果良好,具有实际应用价值。

关键词: 关联特征, Apriori算法, 布尔矩阵, 支持度, 文创产品

Abstract: In order to develop innovative cultural and creative products and improve the design efficiency of cultural and creative products, a product development system of cultural and creative correlation feature 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 creative 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 algorithm and mining accurate correlation features of cultural and creative products. Designers design cultural and creative products through this feature and correlation.The experimental results show that the system can accurately mine cultural features and obtain the correlation between cultural features, and the accuracy 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.

Key words: correlation feature, Apriori algorithm, Boolean matrix, support degree, cultural and creative products

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