[HTML][HTML] A recent overview of the state-of-the-art elements of text classification

MM Mirończuk, J Protasiewicz - Expert Systems with Applications, 2018 - Elsevier
The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …

Twenty years of machine-learning-based text classification: A systematic review

A Palanivinayagam, CZ El-Bayeh, R Damaševičius - Algorithms, 2023 - mdpi.com
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 …

Hyperparameter optimization: Comparing genetic algorithm against grid search and bayesian optimization

H Alibrahim, SA Ludwig - 2021 IEEE Congress on Evolutionary …, 2021 - ieeexplore.ieee.org
The performance of machine learning algorithms are affected by several factors, some of
these factors are related to data quantity, quality, or its features. Another element is the …

Mobile phishing attacks and defence mechanisms: State of art and open research challenges

D Goel, AK Jain - Computers & Security, 2018 - Elsevier
Phishing is an online identity theft in which an attacker tries to steal user's personal
information, resulting in financial loss of individuals as well as organisations. Nowadays …

Towards automatic filtering of fake reviews

EF Cardoso, RM Silva, TA Almeida - Neurocomputing, 2018 - Elsevier
Online opinions significantly influence consumer purchase decisions. Unfortunately, this has
led to a dramatic increase of fake (or spam) reviews that can damage the reputation of …

A review of soft techniques for SMS spam classification: Methods, approaches and applications

O Abayomi-Alli, S Misra, A Abayomi-Alli… - … Applications of Artificial …, 2019 - Elsevier
Background: The easy accessibility and simplicity of Short Message Services (SMS) have
made it attractive to malicious users thereby incurring unnecessary costing on the mobile …

Efficient tree classifiers for large scale datasets

F Wang, Q Wang, F Nie, W Yu, R Wang - Neurocomputing, 2018 - Elsevier
Classification plays a significant role in production activities and lives. In this era of big data,
it is especially important to design efficient classifiers with high classification accuracy for …

CoFA for QoS based secure communication using adaptive chaos dynamical system in fog-integrated cloud

EE Sham, DP Vidyarthi - Digital Signal Processing, 2022 - Elsevier
Fog computing addresses the issues experienced in Cloud computing such as latency,
delay, and bandwidth while provisioning the resources such as computation, storage, and …

A novel approach to detect spam and smishing SMS using machine learning techniques

AK Jain, SK Yadav, N Choudhary - … Journal of E-Services and Mobile …, 2020 - igi-global.com
Smishing attack is generally performed by sending a fake short message service (SMS) that
contains a link of the malicious webpage or application. Smishing messages are the …

Smishing-classifier: a novel framework for detection of smishing attack in mobile environment

D Goel, AK Jain - Smart and Innovative Trends in Next Generation …, 2018 - Springer
Smishing is SMS Phishing in which an attacker tricks the user by sending a text message
aiming to steal sensitive information of the user for financial gain by pretending to be a …