Expert deduction rules in data mining with association rules: a case study

被引：11
|
作者：
Rauch, Jan [1 ]
机构：
[1] Univ Econ, Dept Informat & Knowledge Engn, Prague, Czech Republic
来源：
KNOWLEDGE AND INFORMATION SYSTEMS | 2019年 / 59卷 / 01期
关键词：
Data mining; Association rules; Domain knowledge; Logical calculus of association rules; Deduction rules; Expert deduction rules; GUHA; KNOWLEDGE;
D O I：
10.1007/s10115-018-1206-x
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An approach to dealing with domain knowledge in data mining with association rules is introduced. We deal with association rules with remarkably enhanced syntax. This opens various possibilities for both logical and expert deduction. An expert deduction rule is a logically incorrect deduction rule which is supported by an indisputable fact concerning the application domain. The expert deduction rule is correct according to the given indisputable fact if a suitable assertion related to the given expert deduction rule can be formally proved from this indisputable fact. Examples of expert deduction rules and their applications are presented.
引用
收藏
页码：167 / 195
页数：29
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