Stochastic Local Search Based Feature Selection Combined with K-means for Clients’ Segmentation in Credit Scoring

2019 ◽  
pp. 119-131
Author(s):  
Dalila Boughaci ◽  
Abdullah A. K. Alkhawaldeh
Keyword(s):  
Feature Selection ◽  
Local Search ◽  
Credit Scoring ◽  
Stochastic Local Search

Hybrid Harmony Search Combined with Stochastic Local Search for Feature Selection

2015 ◽  
Vol 44 (1) ◽  
pp. 199-220 ◽  
Author(s):  
Messaouda Nekkaa ◽  
Dalila Boughaci
Keyword(s):  
Feature Selection ◽  
Local Search ◽  
Harmony Search ◽  
Stochastic Local Search

scholarly journals Stochastic Local Search Algorithms for Feature Selection: A Review

2021 ◽  
Vol 17 (1) ◽  
pp. 1-10
Author(s):  
Hayder Al-Behadili
Keyword(s):  
Feature Selection ◽  
Local Search ◽  
Bat Algorithm ◽  
Search Algorithms ◽  
Future Research ◽  
Feature Subset ◽  
Stochastic Local Search ◽  
Local Search Algorithms ◽  
Bee Colony ◽  
Optimal Feature Subset

In today’s world, the data generated by many applications are increasing drastically, and finding an optimal subset of features from the data has become a crucial task. The main objective of this review is to analyze and comprehend different stochastic local search algorithms to find an optimal feature subset. Simulated annealing, tabu search, genetic programming, genetic algorithm, particle swarm optimization, artificial bee colony, grey wolf optimization, and bat algorithm, which have been used in feature selection, are discussed. This review also highlights the filter and wrapper approaches for feature selection. Furthermore, this review highlights the main components of stochastic local search algorithms, categorizes these algorithms in accordance with the type, and discusses the promising research directions for such algorithms in future research of feature selection.

scholarly journals Three local search-based methods for feature selection in credit scoring

2018 ◽  
Vol 5 (2) ◽  
pp. 107-121 ◽  
Author(s):  
Dalila Boughaci ◽  
Abdullah Ash-shuayree Alkhawaldeh
Keyword(s):  
Feature Selection ◽  
Local Search ◽  
Credit Scoring

A THREE-STAGE FEATURE SELECTION USING QUADRATIC PROGRAMMING FOR CREDIT SCORING

2013 ◽  
Vol 27 (8) ◽  
pp. 721-742 ◽  
Author(s):  
Bouaguel Waad ◽  
Bel Mufti Ghazi ◽  
Limam Mohamed
Keyword(s):  
Feature Selection ◽  
Quadratic Programming ◽  
Credit Scoring
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