DATA PRUNING USING ID3 ALGORITHM FOR DATA INTEGRATION IN DIGITAL CAMPUS CONSTRUCTION

摘要：

Digital campus construction involves the analysis, classification, and integration of existing raw data. This article describes the process of data pruning using ID3 algorithm, for the purpose of eliminating redundant attributes in the data and avoiding bias due to excess values in the integration process.It offers practical implications in data integration for colleges and universities who are designing their digital campuses.

关键词： Digital campus ID3 algorithm Information entropy Attribute similarity Decision tree

作者: PAN YAN

作者单位: School Of Information ,Shandong Polytechnic University ,Ji Nan 250353 China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Technology and Development(2011第三届计算机技术与发展国际会议 ICCTD2011)

会议地点: 成都

会议语种:英文

页码: 335-339

在线出版日期: 2011-11-25（万方平台首次上网日期，不代表论文的发表时间）