Results 261 to 270 of about 11,335,082 (272)
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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
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 SystemsThis 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.orgThe 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
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
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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, 2012Yan Hai -, Zhang Tietou -
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Time series numerical association rule mining variants in smart agriculture
Journal of Ambient Intelligence and Humanized Computing, 2023Vili Podgorelec +2 more
exaly
A survey on association rule mining based on evolutionary algorithms
International Journal of Computers and Applications, 2021Monika Kabir +2 more
exaly
Neural computing & applications (Print), 2017
R. Kuo, Monalisa Gosumolo, F. E. Zulvia
semanticscholar +1 more source
R. Kuo, Monalisa Gosumolo, F. E. Zulvia
semanticscholar +1 more source

