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High numeric coherent association rule mining with a particular categorical consequent class attribute

2014 9th International Conference on Industrial and Information Systems (ICIIS), 2014
It has been observed that sometimes in Numeric Association Rule Mining (NARM), it is important to understand the association between a numeric attribute and a specific categorical consequent class attribute. NARM divides the domain of numeric attributes sub-domains without considering particular categorical consequent class attribute.
Pradeep Kumar Saini   +2 more
openaire   +1 more source

Association Rule Mining as Knowledge Infusion into the Mechanics of an eXtended Classifier System

International Conference on Intelligent Engineering Systems
This article uses two well-established research areas: Numerical Association Rule Mining and the eXtended Classifier Systems. With their synergy, an attempt is made to advance the reuse of previously generated associated rules of a given dataset ...
Damijan Novak, D. Verber, I. Fister
semanticscholar   +1 more source

NiaAutoARM: Automated generation and evaluation of Association Rule Mining pipelines

arXiv.org
The Numerical Association Rule Mining paradigm that includes concurrent dealing with numerical and categorical attributes is beneficial for discovering associations from datasets consisting of both features. The process is not considered as easy since it
Uros Mlakar, I. Fister, I. Fister
semanticscholar   +1 more source

Mining Association Rules from a Dynamic Probabilistic Numerical Dataset Using Estimated-Frequent Uncertain-Itemsets

2017
In recent years, many new applications, such as location-based services, sensor monitoring systems, and data integration, have shown a growing amount of importance of uncertain data mining. In addition, due to instrument errors, imprecise of sensor monitoring systems, and so on, real-world data tend to be numerical data with inherent uncertainty. Thus,
Bin Pei, Fenmei Wang, Xiuzhen Wang
openaire   +2 more sources

Association Rules Mining based on Numeric Constraint

INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences, 2012
Yan Hai -, Zhang Tietou -
openaire   +1 more source

Time series numerical association rule mining variants in smart agriculture

Journal of Ambient Intelligence and Humanized Computing, 2023
Vili Podgorelec   +2 more
exaly  

A survey on association rule mining based on evolutionary algorithms

International Journal of Computers and Applications, 2021
Monika Kabir   +2 more
exaly  

A comprehensive review of visualization methods for association rule mining: Taxonomy, challenges, open problems and future ideas

Expert Systems With Applications, 2023
Vili Podgorelec   +2 more
exaly  

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