A survey of evolutionary computation for association rule mining
Abstract Association Rule Mining (ARM) is a significant task for discovering frequent patterns
in data mining. It has achieved great success in a plethora of applications such as market …
in data mining. It has achieved great success in a plethora of applications such as market …
A Metaheuristic Perspective on Extracting Numeric Association Rules: Current Works, Applications, and Recommendations
In the vast field of data mining, the increasing significance of Numerical Association Rule
Mining (NARM) lies in its capacity to unearth recurrent patterns and correlations across …
Mining (NARM) lies in its capacity to unearth recurrent patterns and correlations across …
Swarm‐based metaheuristics in automatic programming: a survey
On the one hand, swarm intelligence (SI) is an emerging field of artificial intelligence that
takes inspiration in the collective and social behavior of different groups of simple agents …
takes inspiration in the collective and social behavior of different groups of simple agents …
Penguins search optimisation algorithm for association rules mining
Sažetak Association Rules Mining (ARM) is one of the most popular and well-known
approaches for the decision-making process. All existing ARM algorithms are time …
approaches for the decision-making process. All existing ARM algorithms are time …
A comprehensive review of automatic programming methods
Automatic programming (AP) is one of the most attractive branches of artificial intelligence
because it provides effective solutions to problems with limited knowledge in many different …
because it provides effective solutions to problems with limited knowledge in many different …
基于虚构理论对不平衡数据集中少数类关联规则挖掘的研究
刘云， 向婵 - 云南大学学报(自然科学版), 2017 - yndxxb.ynu.edu.cn
在网络入侵检测系统中, 数据挖掘往往面对的是不平衡数据集, 而对不平衡数据集中少数类的
挖掘是现在研究的热点. 针对不平衡数据集中少数类的挖掘问题, 提出了不平衡库关联规则挖掘 …
挖掘是现在研究的热点. 针对不平衡数据集中少数类的挖掘问题, 提出了不平衡库关联规则挖掘 …
Research on association rule mining for minority classes of unbalanced database by confabulation theory
Y LIU, C XIANG - … of Yunnan University: Natural Sciences Edition, 2017 - yndxxb.ynu.edu.cn
According to network intrusion detection system, data mining are frequently faced with
unbalanced data sets, and the mining of minority classes from unbalanced database is …
unbalanced data sets, and the mining of minority classes from unbalanced database is …