A Framework for Problem-Solving Knowledge Mining from Users' Actions

被引：0
|
作者：
Nkambou, Roger [1 ]
Nguifo, Engelbert Mephu
Couturier, Olivier
Fournier-Viger, Philippe [1 ]
机构：
[1] Univ Quebec, Montreal, PQ H3C 3P8, Canada
来源：
ARTIFICIAL INTELLIGENCE IN EDUCATION: BUILDING TECHNOLOGY RICH LEARNING CONTEXTS THAT WORK | 2007年 / 158卷
关键词：
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：
In this paper, we present an approach to capture problem-solving knowledge using a promising technique of data and knowledge discovery based on a combination of sequential pattern mining and association rules discovery.
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页码：623 / 625
页数：3
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