Applying Data Mining Technique to Construct Disease Query System

• Main Authors: Pei-Chun Shih, 施佩君
• Other Authors: Chien-Lung Chan
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/62615382521403398349

碩士 === 元智大學 === 資訊管理學系 === 98 === In recent years, data mining technology attracts great attention from information industries. The main reason is that a large amount of data can be useful to find hidden information and to help decision makers to create more value. In the data mining technology, the most widely used is the use of association rules to find the correlation between data. This study applied association rules in the medical field. In order to effectively reduce the time of rule mining and avoid mining unnecessary frequent itemsets, FP-Tree algorithm is adopted to be the basis of association rules. Through the adjustment of fuzzy theory to improve the setting of threshold values, which wastes too much time on the threshold setting in traditional way. This algorithm can be applied in the medical field. A prototype of Disease Query System is constructed based on FP-tree algorithm and fuzzy theory.