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A Novel Approach to SPAM Detection in Social Networks-Light-ANFIS: Integrating Gradient-Based One-Sided Sampling and Random Forest-Based Feature Clustering Techniques with Adaptive Neuro-Fuzzy Inference Systems.

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Title: A Novel Approach to SPAM Detection in Social Networks-Light-ANFIS: Integrating Gradient-Based One-Sided Sampling and Random Forest-Based Feature Clustering Techniques with Adaptive Neuro-Fuzzy Inference Systems.
Authors: Çıtlak, Oğuzhan1,2, Atacak, İsmail2,3, iatacak@gazi.edu.tr, Doğru, İbrahim Alper2,3
Source: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 18, p10049, 43p
Database: Applied Science & Technology Source
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        Value: 10.3390/app151810049
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      – Code: eng
        Text: English
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      – TitleFull: A Novel Approach to SPAM Detection in Social Networks-Light-ANFIS: Integrating Gradient-Based One-Sided Sampling and Random Forest-Based Feature Clustering Techniques with Adaptive Neuro-Fuzzy Inference Systems.
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              Text: Sep2025
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