A Hierarchical Self-organised Classification of 'Multinational' Corporations

被引：0
|
作者：
Ahmad, Khurshid [1 ]
Zheng, Chaoxin [1 ]
Kearney, Colm [2 ]
机构：
[1] Trinity Coll Dublin, Dept Comp Sci, Dublin, Ireland
[2] Trinity Coll Dublin, Sch Business Stud, Dublin, Ireland
来源：
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2008 | 2008年 / 5326卷
关键词：
Hierarchical Self Organising Maps; Multinational Corporations;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Classification of entities, for example. into national states. into social groups, into business enterprises and into scientific taxa, is an enduring problem in neural computing. In this paper, we look at the problems faced by researchers in developing a taxonomy of 'multinationality' and explore the use of hierarchical SOMs in 'discovering' a taxonomy of multinational corporations (MNCs).
引用
收藏
页码：464 / +
页数：3
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