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A Novel Hybrid Whale Optimization Algorithm with Flower Pollination Algorithm for Feature Selection: Case Study Email Spam Detection

机译：具有特征选择的新型混合鲸优化算法：案例研究电子邮件垃圾邮件检测

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Hekmat Mohmmadzadeh; Farhad Soleimanian Gharehchopogh;
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年度 2020
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1. A novel hybrid whale optimization algorithm with flower pollination algorithm for feature selection: Case study Email spam detection [J] . Mohammadzadeh Hekmat, Gharehchopogh Farhad Soleimanian Computational Intelligence . 2021,第1期

机译：具有特征选择的新型混合鲸优化算法：案例研究电子邮件垃圾邮件检测
2. Hybrid email spam detection model with negative selection algorithm and differential evolution [J] . Ismaila Idris, Ali Selamat, Sigeru Omatu Engineering Applications of Artificial Intelligence . 2014,第feba期

机译：带有否定选择算法和差分进化的混合电子邮件垃圾邮件检测模型
3. Clustered negative selection algorithm and fruit fly optimization for email spam detection [J] . Chikh Ramdane, Chikhi Salim Journal of ambient intelligence and humanized computing . 2019,第1期

机译：群集否定选择算法和果蝇优化技术用于垃圾邮件检测
4. Adaptive binary flower pollination algorithm for feature selection in review spam detection [C] . S P. Rajamohana, K. Umamaheswari, B. Abirami IEEE International Conference on Innovations in Green Energy and Healthcare Technologies . 2017

机译：评论垃圾邮件检测中特征选择的自适应二元花授粉算法
5. A Study of Machine Learning Algorithms on Email Spam Classification [D] . ?Sattu, Neha 2020

机译：电子邮件垃圾邮件分类机器学习算法研究
6. CURE-SMOTE algorithm and hybrid algorithm for feature selection and parameter optimization based on random forests [O] . Li Ma, Suohai Fan 2017

机译：基于随机森林的CURE-SMOTE算法和混合算法用于特征选择和参数优化
7. Whale optimization algorithm-based email spam feature selection method using rotation forest algorithm for classification [O] . Maryam Shuaib, Shafi’i Muhammad Abdulhamid, Olawale Surajudeen Adebayo, 2019

机译：基于鲸类优化算法的电子邮件垃圾邮件特征选择方法使用旋转林算法进行分类

A Novel Hybrid Whale Optimization Algorithm with Flower Pollination Algorithm for Feature Selection: Case Study Email Spam Detection

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