A Study on Military Personnel Salary Seizure Order Data Analysis with Data Mining Technology

• Main Authors: Ma,ShyueJeng, 馬學正
• Other Authors: Fu,ChenHua
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/92142387045090985285

碩士 === 國防大學管理學院 === 資訊管理學系 === 100 === Data mining can help enterprise to find out some meaningful rules and knowledge from a large number of data. There are lots of successful examples from using data mining technologies to support decision-making, find some inner problems, or recommend the way of improvement in efficiency. This study tries to analyze military personnel salary seizure order data with data mining technology, and identify relatively clear characteristics and potential groups. The analysis result may have some reference values to prevent debt disputes in the military. This study adopted K-means algorithm to cluster seizure order data, meanwhile adopted Gene Algorithm (GA) to select attributes of the data. The mining results can help supervisors of the military to give advises to these people , and reduce unfortunate cases in the future.