35   Artículos

 
en línea
Wenny Hojas-Mazo, Francisco Maciá-Pérez, José Vicente Berná Martínez, Mailyn Moreno-Espino, Iren Lorenzo Fonseca and Juan Pavón    
Analysing message streams in a dynamic environment is challenging. Various methods and metrics are used to evaluate message classification solutions, but often fail to realistically simulate the actual environment. As a result, the evaluation can produce... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Ashokkumar Palanivinayagam, Claude Ziad El-Bayeh and Robertas Dama?evicius    
Machine-learning-based text classification is one of the leading research areas and has a wide range of applications, which include spam detection, hate speech identification, reviews, rating summarization, sentiment analysis, and topic modelling. Widely... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Xuanyu Zhang, Hao Zhou, Ke Yu, Xiaofei Wu and Anis Yazidi    
In Natural Language Processing (NLP), deep-learning neural networks have superior performance but pose transparency and explainability barriers, due to their black box nature, and, thus, there is lack of trustworthiness. On the other hand, classical mach... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Temidayo Oluwatosin Omotehinwa and David Opeoluwa Oyewola    
Unsolicited emails, popularly referred to as spam, have remained one of the biggest threats to cybersecurity globally. More than half of the emails sent in 2021 were spam, resulting in huge financial losses. The tenacity and perpetual presence of the adv... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mohammad Tubishat, Feras Al-Obeidat, Ali Safaa Sadiq and Seyedali Mirjalili    
Spam emails have become a pervasive issue in recent years, as internet users receive increasing amounts of unwanted or fake emails. To combat this issue, automatic spam detection methods have been proposed, which aim to classify emails into spam and non-... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Yehia Ibrahim Alzoubi, Ahmet E. Topcu and Ahmed Enis Erkaya    
The growth in textual data associated with the increased usage of online services and the simplicity of having access to these data has resulted in a rise in the number of text classification research papers. Text classification has a significant influen... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ala? M. Al-Zoubi, Antonio M. Mora and Hossam Faris    
During the recent COVID-19 pandemic, people were forced to stay at home to protect their own and others? lives. As a result, remote technology is being considered more in all aspects of life. One important example of this is online reviews, where the num... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Molly Dewis and Thiago Viana    
Using technology to prevent cyber-attacks has allowed organisations to somewhat automate cyber security. Despite solutions to aid organisations, many are susceptible to phishing and spam emails which can make an unwanted impact if not mitigated. Traits t... ver más
Revista: Applied System Innovation    Formato: Electrónico

 
en línea
Olga V. Okhlupina,Dmitry S. Murashko     Pág. 17 - 20
Among the common methods of combating spam, a special place is occupied by a probabilistic machine learning algorithm, which is based on the well-known Bayes theorem. The so-called "naive" Bayesian classifier establishes the class of the document by dete... ver más
Revista: International Journal of Open Information Technologies    Formato: Electrónico

 
en línea
Jia Dong and Quan Qian    
Many machine learning problem domains, such as the detection of fraud, spam, outliers, and anomalies, tend to involve inherently imbalanced class distributions of samples. However, most classification algorithms assume equivalent sample sizes for each cl... ver más
Revista: Future Internet    Formato: Electrónico

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