Application of association rules for efficient learning work-flow

被引：0
作者：
Encheva, Sylvia [1 ]
Tumin, Sharil [2 ]
机构：
[1] Stord Haugesund Univ Coll, Bjornsonsg 45, N-5528 Haugesund, Norway
[2] Univ Bergen, Dept IT, Bergen 5020, Norway
来源：
INTELLIGENT INFORMATION PROCESSING III | 2006年 / 228卷
关键词：
e-learning; data mining;
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：
This paper describes application of association rules in education. To make everything more clearly visible a graphic display of objects and attributes in a lattice structure is provided. Vectors and matrices are used to reduce the computational complexity while searching for association rules in the case when at least one attribute included in the 'if' pail of the statement is known.
引用
收藏
页码：499 / +
页数：3
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