Data mining and KDD: promise and challenges
Future Generation Computer Systems - Special double issue on data mining
Data mining with decision trees and decision rules
Future Generation Computer Systems - Special double issue on data mining
Anthropometric table for the Puerto Rican industrial population
Proceedings of the 21st international conference on Computers and industrial engineering
Using data mining to find patterns in genetic algorithm solutions to a job shop schedule
Computers and Industrial Engineering
Mastering Data Mining: The Art and Science of Customer Relationship Management
Mastering Data Mining: The Art and Science of Customer Relationship Management
Building Data Mining Applications for CRM
Building Data Mining Applications for CRM
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Assessing Loan Risks: A Data Mining Case Study
IT Professional
Knowledge discovery techniques for predicting country investment risk
Computers and Industrial Engineering
Review: Data mining techniques and applications - A decade review from 2000 to 2011
Expert Systems with Applications: An International Journal
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In the field of garment manufacturing, the planning and control of production and inventory are rather complicated procedures. This is the reason that establishing standard sizing systems is necessary and important for garment manufacturers in Taiwan. As the standard sizing systems need anthropometric data for reference, an anthropometric database for Taiwan army servicemen was first constructed for the purpose of simplifying the entire process. Anthropometric data collected from scratch are used to establish the sizing systems. The data mining method, which has been extensively used in many fields, is applied in this project. Few researches have been conducted in addressing the establishment of sizing systems. This study aims to establish systems for determining the sizes of garments for army personnel using the data mining technique. The newly developed sizing systems can be adopted to better accurately predict the requirements of different sizes of uniforms, and then to generate a practical production planning procedure. This study found that, by applying data mining technique, unnecessary inventory costs resulting from sizing mismatches that portend large differences between the numbers of soldiers and of produced garments can be significantly minimized.