A method for Querying Textile and Clothing Design Elements in a Resource Library based on Multi-source Data Mining

This paper presents a query method of textile and garment design elements resource library based on multi-source data mining. By using multi-source data mining techniques to explore the correlation between different data sources, the implicit relationship characteristics between textile and clothing design elements are revealed. Based on the mining results, the feature extraction process of textile and clothing design elements was implemented. By leveraging the sparse and distributed storage characteristics of HBase, a storage model was designed to meet the requirements of massive data storage and real-time operations. The introduction of improved decision tree algorithm as a query tool has improved the accuracy and efficiency of querying textile and clothing design elements. The experimental results show that the proposed method has high query accuracy and fast query speed. It has been confirmed that the proposed method can effectively process multi-source clothing design data, providing strong support for the field of textile and clothing design.