Formal Framework for Data Mining with Association Rules and Domain Knowledge – Overview of an Approach-Reference-Cited by-同舟云学术

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Formal Framework for Data Mining with Association Rules and Domain Knowledge – Overview of an Approach

Published:2015 Issue:2 Volume:137 Page:171-217
ISSN:0169-2968
Container-title:Fundamenta Informaticae
language:
Short-container-title:

Author:

Rauch Jan¹

Affiliation:

1. University of Economics, Prague, nám. W. Churchilla 4, 130 67 Prague 3, Czech Republic. rauch@vse.cz

Publisher

IOS Press

Subject

Computational Theory and Mathematics,Information Systems,Algebra and Number Theory,Theoretical Computer Science

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybridizing association rules with adaptive weighted decision fusion for personal credit assessment;Systems Science & Control Engineering;2019-11-28

2. ARM–AMO: An efficient association rule mining algorithm based on animal migration optimization;Knowledge-Based Systems;2018-08

3. Expert deduction rules in data mining with association rules: a case study;Knowledge and Information Systems;2018-05-18

4. Apriori and GUHA – Comparing two approaches to data mining with association rules;Intelligent Data Analysis;2017-08-19

5. Logical Aspects of Dealing with Domain Knowledge in Data Mining with Association Rules;Fundamenta Informaticae;2016-12-24

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