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.

引用

页码：623 / 625

页数：3

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