[PDF][PDF] Youtube spam detection framework using naïve bayes and logistic regression

NF Othman, W Din - Indonesian Journal of Electrical Engineering and …, 2019 - academia.edu
YouTube has become a popular social media among the users. Due to YouTube popularity,
it became a platform for spammer to distribute spam through the comments on YouTube …

A feature-centric spam email detection model using diverse supervised machine learning algorithms

A Zamir, HU Khan, W Mehmood, T Iqbal… - The Electronic …, 2020 - emerald.com
Purpose This research study proposes a feature-centric spam email detection model
(FSEDM) based on content, sentiment, semantic, user and spam-lexicon features set. The …

Advances in spam detection for email spam, web spam, social network spam, and review spam: ML-based and nature-inspired-based techniques

AA Akinyelu - Journal of Computer Security, 2021 - content.iospress.com
Despite the great advances in spam detection, spam remains a major problem that has
affected the global economy enormously. Spam attacks are popularly perpetrated through …

[PDF][PDF] A comparative analysis of classification algorithms on diverse datasets

M Alghobiri - Engineering, Technology & Applied Science …, 2018 - pdfs.semanticscholar.org
Data mining involves the computational process to find patterns from large data sets.
Classification, one of the main domains of data mining, involves known structure …

A classification method for E-mail spam using a hybrid approach for feature selection optimization

Z Hassani, V Hajihashemi, K Borna… - Journal of Sciences …, 2020 - jsciences.ut.ac.ir
Spam is an unwanted email that is harmful to communications around the world. Spam
leads to a growing problem in a personal email, so it would be essential to detect it. Machine …

[PDF][PDF] Low time complexity model for email spam detection using logistic regression

ZK Mrisho, JD Ndibwile, AE Sam - International Journal of Advanced …, 2021 - academia.edu
Spam emails have recently become a concern on the Internet. Machine learning techniques
such as Neural Networks, Naïve Bayes, and Decision Trees have frequently been used to …

Search engine for kids with document filtering and ranking using naive bayes classifier

J Zeniarja, RR Sani, A Luthfiarta… - … on Application for …, 2018 - ieeexplore.ieee.org
Search Engines are one of the important facilities used to facilitate users in searching
information especially information from web documents available in internet. Without the …

Enhancing Emotion Classification via EEG Signal Frame Selection

M Esmaeiili, K Kiani - Journal of AI and Data Mining, 2024 - jad.shahroodut.ac.ir
The classification of emotions using electroencephalography (EEG) signals is inherently
challenging due to the intricate nature of brain activity. Overcoming inconsistencies in EEG …

Feature selection techniques for email spam classification: a survey

VS Vinitha, DK Renuka - … Conference on Artificial Intelligence, Smart Grid …, 2020 - Springer
In this digital world, most of the communication is done only through the Internet. Email is
widely used for exchanging information not only for personal communication but also has an …

Spam Detection in Connected Networks Using Particle Swarm and Genetic Algorithm Optimization: Youtube as a Case study.

AA Alhussan, HKI Al-Mahdawi… - International Journal of …, 2023 - search.ebscohost.com
Although there are many networks security tools, both wire and wireless connected networks
are still suffering from many types of attacks. YouTube's meteoric rise to prominence as a …