Data preparation for data mining
Data preparation for data mining
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Cluster analysis in industrial market segmentation through artificial neural network
Computers and Industrial Engineering - 26th International conference on computers and industrial engineering
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Garment production is a high value-added industry in the global textile manufacturing chain. Standard sizing systems of garment are crucial issue, play an even important role for garment manufacturing industry. The extraction of knowledge from large database has been successfully applied in a number of advanced fields by data mining. However, little research has been done in the area of developing standard sizing systems of garment manufacture, using data mining. Focusing on the anthropometric data of adult males in Taiwan, the goal of this study was to develop standard sizing systems, using a novel cluster-based data mining cycle. Certain advantages may be observed when standard sizing systems are developed, using the data mining cycle. These include being able to cover a higher percentage of the population, using fewer sizes, and providing manufacturers with reference points to promote products, according to body type and distribution. Since the anthropometric database must be repeatedly updated, standard sizing systems may also be continuously renewed via application of the proposed data mining cycle. These standard sizing systems will remain continually beneficial for both production planning and reducing inventory costs, while facilitating the advanced garment manufacture.