An ensemble framework of anomaly detection using hybridized feature selection approach (HFSA)

2015 SAI Intelligent Systems Conference (IntelliSys) ◽

10.1109/intellisys.2015.7361264 ◽

2015 ◽

Author(s):

Nutan Farah Haq ◽

Abdur Rahman Onik ◽

Faisal Muhammad Shah

Keyword(s):

Feature Selection ◽

Anomaly Detection ◽

Selection Approach ◽

Feature Selection Approach

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A Novel Meta-Heuristic-Based Sequential Forward Feature Selection Approach for Anomaly Detection Systems

2016 International Conference on Network and Information Systems for Computers (ICNISC) ◽

10.1109/icnisc.2016.056 ◽

2016 ◽

Author(s):

Yukang Liu ◽

Zhen Xu ◽

Jing Yang ◽

Liming Wang ◽

Chen Song ◽

...

Keyword(s):

Feature Selection ◽

Anomaly Detection ◽

Detection Systems ◽

Selection Approach ◽

Feature Selection Approach

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Feature selection approach using ensemble learning for network anomaly detection

CAAI Transactions on Intelligence Technology ◽

10.1049/trit.2020.0073 ◽

2020 ◽

Vol 5 (4) ◽

pp. 283-293

Author(s):

Doreswamy ◽

Mohammad Kazim Hooshmand ◽

Ibrahim Gad

Keyword(s):

Feature Selection ◽

Anomaly Detection ◽

Ensemble Learning ◽

Selection Approach ◽

Feature Selection Approach ◽

Network Anomaly Detection

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Hybrid GA-PCA Feature Selection Approach for Inertial Human Activity Recognition

2018 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci.2018.8628702 ◽

2018 ◽

Author(s):

Ayman M. Abo El-Maaty ◽

Amr G. Wassal

Keyword(s):

Feature Selection ◽

Activity Recognition ◽

Human Activity ◽

Human Activity Recognition ◽

Selection Approach ◽

Feature Selection Approach

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Distributed Rough Set Based Feature Selection Approach to Analyse Deep and Hand-crafted Features for Mammography Mass Classification

2018 IEEE International Conference on Big Data (Big Data) ◽

10.1109/bigdata.2018.8621962 ◽

2018 ◽

Author(s):

Azam Hamidinekoo ◽

Zaineb Chelly Dagdia ◽

Zobia Suhail ◽

Reyer Zwiggelaar

Keyword(s):

Feature Selection ◽

Rough Set ◽

Selection Approach ◽

Mass Classification ◽

Feature Selection Approach

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The key successful factors of video and mobile game crowdfunding projects using a lexicon-based feature selection approach

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-021-03146-4 ◽

2021 ◽

Author(s):

Mu-Yen Chen ◽

Jing-Rong Chang ◽

Long-Sheng Chen ◽

En-Li Shen

Keyword(s):

Feature Selection ◽

Mobile Game ◽

Selection Approach ◽

Feature Selection Approach

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A new graph feature selection approach

2020 6th IEEE Congress on Information Science and Technology (CiSt) ◽

10.1109/cist49399.2021.9357067 ◽

2020 ◽

Author(s):

Yassine Akhiat ◽

Youssef Asnaoui ◽

Mohamed Chahhou ◽

Ahmed Zinedine

Keyword(s):

Feature Selection ◽

Selection Approach ◽

Feature Selection Approach

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Comparison of Penalty-based Feature Selection Approach on High Throughput Biological Data

Proceedings of the 2020 10th International Conference on Biomedical Engineering and Technology ◽

10.1145/3397391.3397404 ◽

2020 ◽

Author(s):

Ningya Wang ◽

Wenbin Zhou ◽

Jiamin Wu ◽

Shengjia Chen ◽

Ziling Fan

Keyword(s):

Feature Selection ◽

High Throughput ◽

Biological Data ◽

Selection Approach ◽

Feature Selection Approach

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A Simultaneous Moth Flame Optimizer Feature Selection Approach Based on Levy Flight and Selection Operators for Medical Diagnosis

Arabian Journal for Science and Engineering ◽

10.1007/s13369-021-05478-x ◽

2021 ◽

Author(s):

Ruba Abu Khurma ◽

Ibrahim Aljarah ◽

Ahmad Sharieh

Keyword(s):

Feature Selection ◽

Medical Diagnosis ◽

Lévy Flight ◽

Levy Flight ◽

Selection Approach ◽

Selection Operators ◽

Feature Selection Approach

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Enterprise Credit Risk Assessment Using Feature Selection Approach and Ensemble Learning Technique

2020 16th International Conference on Computational Intelligence and Security (CIS) ◽

10.1109/cis52066.2020.00056 ◽

2020 ◽

Author(s):

Di Wang ◽

Zuoquan Zhang

Keyword(s):

Risk Assessment ◽

Feature Selection ◽

Credit Risk ◽

Ensemble Learning ◽

Credit Risk Assessment ◽

Enterprise Credit ◽

Selection Approach ◽

Learning Technique ◽

Feature Selection Approach

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A hybrid feature selection approach for virtual metrology: Application to CMP process

2021 32nd Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC) ◽

10.1109/asmc51741.2021.9435673 ◽

2021 ◽

Author(s):

Taki Eddine KORABI ◽

Valeria BORODIN ◽

Michel JUGE ◽

Agnes ROUSSY

Keyword(s):

Feature Selection ◽

Virtual Metrology ◽

Selection Approach ◽

Feature Selection Approach

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