A review of the application of multiobjective evolutionary fuzzy systems: Current status and further directions
Over the past few decades, fuzzy systems have been widely used in several application
fields, thanks to their ability to model complex systems. The design of fuzzy systems has …
fields, thanks to their ability to model complex systems. The design of fuzzy systems has …
A survey on association rules mining using heuristics
Association rule mining (ARM) is a commonly encountred data mining method. There are
many approaches to mining frequent rules and patterns from a database and one among …
many approaches to mining frequent rules and patterns from a database and one among …
[PDF][PDF] List of references on evolutionary multiobjective optimization
CAC Coello - URL< http://www. lania. mx/~ ccoello/EMOO …, 2010 - delta.cs.cinvestav.mx
List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …
On the discovery of association rules by means of evolutionary algorithms
Association rule learning is a data mining task that tries to discover interesting relations
between variables in large databases. A review of association rule learning is presented that …
between variables in large databases. A review of association rule learning is presented that …
Survey on association rules mining algorithms
M Zhang, C He - Advancing computing, communication, control and …, 2010 - Springer
In recent years, the association rule mining as an important component of data mining
attracts many attentions. Up to now, there are many literatures on the association rules …
attracts many attentions. Up to now, there are many literatures on the association rules …
Mining significant fuzzy association rules with differential evolution algorithm
This article presents a new differential evolution (DE) algorithm for mining optimized
statistically significant fuzzy association rules that are abundant in number and high in rule …
statistically significant fuzzy association rules that are abundant in number and high in rule …
Multi-objective optimisation based fuzzy association rule mining method
Fuzzy association rule mining (FARM) is a mainstream method to discover hidden patterns
and association rules in quantitative data. It is essential to improve performance metrics …
and association rules in quantitative data. It is essential to improve performance metrics …
Optimizing multi-objective functions in fuzzy association rule mining
H Zheng, P Li - 2020 IEEE/WIC/ACM International Joint …, 2020 - ieeexplore.ieee.org
Fuzzy association rule mining is a popular method to discover hidden patterns and
associations in quantitative data. With fuzzy logic, fuzzy association rule mining is easier for …
associations in quantitative data. With fuzzy logic, fuzzy association rule mining is easier for …
A semantic image classifier based on hierarchical fuzzy association rule mining
A Tazaree, AM Eftekhari-Moghadam… - Multimedia tools and …, 2014 - Springer
One of the major challenges in the content-based information retrieval and machine learning
techniques is to-build-the-so-called “semantic classifier” which is able to effectively and …
techniques is to-build-the-so-called “semantic classifier” which is able to effectively and …
A survey of fuzzy data mining techniques
Data mining is very popular recently due to lots of analysis applications of big data. A well-
known algorithm for mining association rules from transactions is the Apriori algorithm …
known algorithm for mining association rules from transactions is the Apriori algorithm …