利用最近鄰居演算法及雲端運算設計 信用卡信用評比系統

文化大學機構典藏 CCUR > 國際暨外語學院 > 全球商務學位學程 > 博碩士論文 > Item 987654321/30294

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题名:	利用最近鄰居演算法及雲端運算設計信用卡信用評比系統 Using the Nearest Neighbor Algorithm and Cloud Computing to Design a Credit Rating System for Credit Card Applicants
作者:	胡宏紳 Nha, Vo Hoang
贡献者:	全球商務碩士學位學程碩士班
关键词:	Data mining The nearest neighbor algorithm Credit rating Cloud computing
日期:	2015-06
上传时间:	2015-08-19 13:52:04 (UTC+8)
摘要:	Data mining and cloud computing are two major trends in the recent information technology development. Data mining is a process to get actionable information and cloud computing provides software services via the Internet. One of the techniques which is widely used in data mining for classification tasks is the nearest neighbor algorithm or NN algorithm. NN algorithm is a method to classify objects based on shortest distance among objects in the database. In this paper, we use NN algorithm to rank customers’ credit for credit card issued banks. Besides that, we use cloud computing as a platform to provide a convenient and low-cost way for bank users in credit rating.
显示于类别:	[全球商務學位學程] 博碩士論文

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