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Scopus YÖKSİS DOI Eşleşti SJR Q1

Classification rule mining based on Pareto-based Multiobjective Optimization

Applied Soft Computing · Eylül 2022

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YÖKSİS Kayıtları
Classification rule mining based on Pareto-based Multiobjective Optimization
Applied Soft Computing · 2022 SCI-Expanded
Doç. Dr. TAHİR SAĞ →
Classification rule mining based on Pareto-based Multiobjective Optimization
Applied Soft Computing · 2022 SCI-Expanded
Prof. Dr. HUMAR KAHRAMANLI ÖRNEK →
YÖKSİS ISSN Eşleşmesi

Bu dergide (ISSN eşleşmesi) kurumun 17 kaydı bulundu.

YÖKSİS Kayıtları — ISSN Eşleşmesi
Detection of abnormalities in lumbar discs from clinical lumbar MRI with hybrid models
2015 ISSN: 15684946 SCI-Expanded
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Color image segmentation based on multiobjective artificial bee colony optimization
2015 ISSN: 15684946 SCI-Expanded
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Color image segmentation based on multiobjective artificial bee colony optimization
2015 ISSN: 15684946 SCI-Expanded
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Liver fibrosis staging using CT image texture analysis and soft computing
2014 ISSN: 15684946 SCI-Expanded
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New Approaches to determine Age and Gender in Image Processing Techniques using Multilayer Perceptron Neural Network
2018 ISSN: 1568-4946 SCI-Expanded
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A modification of tree-seed algorithm using Deb’s rules for constrained optimization
2018 ISSN: 1568-4946 SCI Q1
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A hybrid binary grey wolf optimizer for selection and reduction of reference points with extreme learning machine approach on local GNSS/leveling geoid determination
2021 ISSN: 1568-4946 SCI-Expanded Q1
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Boosting the oversampling methods based on differential evolution strategies for imbalanced learning
2021 ISSN: 1568-4946 SCI-Expanded Q1
Doç. Dr. AHMET CEVAHİR ÇINAR →
A discrete spotted hyena optimizer for solving distributed job shop scheduling problems
2021 ISSN: 1568-4946 SCI-Expanded Q1
Doç. Dr. MEHMET AKİF ŞAHMAN →
A hybrid binary grey wolf optimizer for selection and reduction of reference points with extreme learning machine approach on local GNSS/leveling geoid determination
2021 ISSN: 1568-4946 SCI-Expanded Q1
Doç. Dr. MEHMET AKİF ŞAHMAN →
Boosting the oversampling methods based on differential evolution strategies for imbalanced learning
2021 ISSN: 1568-4946 SCI-Expanded Q1
Doç. Dr. MEHMET AKİF ŞAHMAN →
Classification rule mining based on Pareto-based Multiobjective Optimization
2022 ISSN: 1568-4946 SCI-Expanded Q1
Doç. Dr. TAHİR SAĞ →
Classification rule mining based on Pareto-based Multiobjective Optimization
2022 ISSN: 1568-4946 SCI-Expanded Q1
Prof. Dr. HUMAR KAHRAMANLI ÖRNEK →
Image forgery detection by combining Visual Transformer with Variational Autoencoder Network
2024 ISSN: 1568-4946 SCI-Expanded Q1
Doç. Dr. ALİ YAŞAR →
Parametric picture fuzzy cross-entropy measures based on d-Choquet integral for building material recognition Applied Soft Computing
2024 ISSN: 1568-4946 SCI-Expanded Q1
Doç. Dr. DİLEK SÖYLEMEZ ÖZDEN →
A synergistic oversampling technique with differential evolution and safe level synthetic minority oversampling
2025 ISSN: 1568-4946 SCI-Expanded
Doç. Dr. AHMET CEVAHİR ÇINAR →
Efficiency analysis of binary metaheuristic optimization algorithms for uncapacitated facility location problems
2025 ISSN: 1568-4946 SCI-Expanded Q1
Doç. Dr. TAHİR SAĞ →

Makale Bilgileri

Dergi Applied Soft Computing
ISSN15684946
Yayın TarihiEylül 2022
Cilt / Sayfa127
DOI10.1016/j.asoc.2022.109321
Scopus ID2-s2.0-85134892535
Özet This paper introduces a novel classification rule mining model based on Pareto-based Multiobjective Optimization called CRM-PM. The process of rule extraction is a challenging classification task in data mining since it has several constraints and conflicting objectives such as accuracy and comprehensibility. In this study, this task is accepted as a multi-objective optimization problem. Classification accuracy and misclassification ratio are assigned as evaluation criteria. The candidate solutions are generated in the direction of a proposed strategy to determine optimal ranges of the attributes that form the rules. The proposed approach is applied on eight benchmark datasets (Iris Plants, Wine Quality, Glass Identification, Stat log (Heart), Haberman's Survival, E-coli, Wisconsin Breast Cancer, and Pima Indians Diabetes) included in the University of California at Irvine machine learning repository. Furthermore, CRM-PM is run in three different validation modes: cross-validation, training without test data, and training with random splitting. Regarding experimental results, it can be said that the presented method has a promising capability for classification, and it achieves comparative or superior results.

Yazarlar (2)

1
Tahir Saǧ
2
Humar Kahramanli

Anahtar Kelimeler

Classification rule mining Decision making MOEA/D Multi-objective optimization NSGAII

Kurumlar

Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Applied Soft Computing
Q1
SJR Skoru1,511
H-Index208
YayıncıElsevier B.V.
ÜlkeNetherlands
Software (Q1)
Dergi sayfasına git

Metrikler

12
Atıf
2
Yazar
5
Anahtar Kelime

Sistemimizdeki Yazarlar

HK
HUMAR KAHRAMANLI ÖRNEK
Prof. Dr.

Hızlı Erişim

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