Gini index in Applicable Analysis Model

• Main Authors: You-Ci Cai, 蔡祐其
• Other Authors: Wen-Hsing Kao
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/78065732766668431996

碩士 === 僑光科技大學 === 資訊科技研究所 === 101 === In current society, data plays an important part in all kind of industry. The technique such as Data Mining has developed and matured as well as the amount of data to process. Therefore, during the process, the number of columns and attribute of database table has increased. This means analysis and get valuable information out of the large volume of data is one of important subject currently facing. In recent year, information technology does not mean simply store it, process it and pass it; turning data into useful information and knowledge is more important. In this paper, Data mining Gini index algorithm will be used against data, hoping to find the attribute selection efficiency to provide decision maker and relevant personnel as reference. The purpose of this study is to understand the data mining, the Gini index algorithm and information gain for the decision tree to establish procedures and use to explore the value of the decision tree fields and properties how to cut samples between the field and the field has the orderrelationship, so that stakeholders engaged in data mining or demand to understand the data field attribute value cut and applied in the decision-making purposes. Keywords: Information Gain,Data Mining, Gini Index