DATA MINING IMPLEMENTATION IN DIGITAL ECONOMY RANKING

被引:0
作者
Zurini, Madalina [1 ]
机构
[1] Acad Econ Studies, Bucharest, Romania
来源
INTERNATIONAL CONFERENCE ON INFORMATICS IN ECONOMY | 2012年
关键词
digital economy; clustering analysis; EUI; 2010; ranking; WEKA; data mining;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
The terms of digital economy and e-readiness are introduced and discussed in the present area of evolution of economy stage within Europe and not only. The main aspects treated in the European University Institute ranking for e-readiness are briefly covered. An open source convertor for excel to arff file format is presented and used in the purpose of input transformation for using Weka Data Mining, an open source tool. The framework of ExceltoArff tool is demonstrated in a practical use, the one of 70 countries registrations of EUI Ranking.
引用
收藏
页码:356 / 360
页数:5
相关论文
共 6 条
  • [1] [Anonymous], WEKA Documentation
  • [2] [Anonymous], EXCEL TO ARFF CONVER
  • [3] [Anonymous], E READINESS DEFINITI
  • [4] [Anonymous], ATTRIBUTE RELATION F
  • [5] Brynjolfsson E., 2002, UNDERSTANDING THE DI
  • [6] Economist Intelligence Unit, DIGITAL ECONOMY RANK