ترکیب تصاویر با کمک ترکیب فازی، موجک و آنتروپی تصویر

•   آرشیو : نسخه تابستان 1398
•   موضوع : مهندسی نرم افزار
• نویسنده/گان : سعید امیری، احمد مصلی نژاد، احسان امیری
•   کلید واژه : اسپم، ایمیل های اسپم، الگوریتم عنکبوت اجتماعی، الگوریتم کرم شب تاب و ماشین بردار پشتیبان
•   Title : Hybrid Social Spider Algorithm with Firefly Algorithm for feature selection in spam email detection
•   Abstract :
  Spams are one of the most common negative aspects of emails that we cannot remove them completely, but we can reduce their number by using some methods. Several methods have been proposed to reduce the number of spam emails. A common method is classifying emails into spam and non-spam emails. The high dimensions of the features are one of the main problems that directly affect the quality of the learning process. The use of features extraction methods, prior to the learning process, has a significant impact on the classification performance improvement. In feature extraction, metahuristic algorithms are widely used due to the use of exploration and exploitation strategies. In order to increase the accuracy and improve the efficiency of metahuristic algorithms, steps of these algorithms can be combined together. In this thesis, the firefly algorithm has been improved using the social spider algorithm and has been used to extract features in spam emails detection. Also in this thesis, in order to further improve the population of the firefly algorithm and to create a balance between its exploration and exploitation strategies, parameter P is used that controls the switching between algorithms. The proposed method is simulated in the MATLAB environment and has been implemented on Spambase dataset. At the end, the proposed method is compared with genetic, ant, social spider and firefly algorithms. The results of the comparisons show that, in terms of accuracy and error rate of classification, the proposed algorithm is significantly improved compared to other algorithms.
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