The Research of Using Data Mining to Analyze the Styles of Costume.

• Main Authors: YI-LING LIEN, 連苡伶
• Other Authors: none
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/07550324760882501059

碩士 === 中原大學 === 資訊工程研究所 === 96 === In this research, the relationships among costumes from people's dressing are analyzed for one suitable model to summarize all people's dressing. Then this model is provided to the next person who have same behavior, and suggestions for different model can give them more choices. In this research, The Apriori algorithm in Data Mining is used to find out the relationships among materials. Concept Lattice is used to do a basic analysis among fundamentally. In the experiment, we use Apriori to find out unique rules from costumes in five kinds of styles, and use these rules to group costumes in one of five styles. The test results show that the classification rate already been 70.27%, in other words, there are 70% materials can get the correct styles. The style can explain some implicit meanings, style can represent the using time, using place and suitable person of costume. So, if you know what kind of style you want, you can find out the suitable costume. So, we major on style, and choice one of costume in each costume type, and make a complete set. For example, white jacket, blackish green trousers, coffee gentleman's ankle boots, black bag and purple pearl necklace, they can make a sweet and cute style with complete set.