Grouped ABC for Feature Selection and Mean-Variance Optimization for Rule Mining: A Hybrid Framework
Data mining has become a popular process in recent times. However, with the increase in data, traditional data mining methods are not sufficient to solve many problems. Therefore, advanced techniques are needed to provide better results without consuming more time during execution. Soft computing al...
Main Authors: | Mrinalini Rana, Omdev Dahiya, Parminder Singh, Wadii Boulila, Adel Ammar |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10210547/ |
Similar Items
-
On the application of artificial bee colony (ABC) algorithm for optimization of well placements in fractured reservoirs; efficiency comparison with the particle swarm optimization (PSO) methodology
by: Behzad Nozohour-leilabady, et al.
Published: (2016-03-01) -
Surface roughness optimization in machining of AZ31 magnesium alloy using ABC algorithm
by: Abhijith, et al.
Published: (2018-01-01) -
Surface roughness optimization in machining of AZ31 magnesium alloy using ABC algorithm
by: Abhijith, et al.
Published: (2018-01-01) -
Ship Lock Control System Optimization using GA, PSO and ABC: A Comparative Review
by: Željko Kanović, et al.
Published: (2014-02-01) -
PMDC Motor Parameter Estimation Using Bio-Inspired Optimization Algorithms
by: V. Sankardoss, et al.
Published: (2017-01-01)