A brief comparison on machine learning algorithms based on various applications: a comprehensive survey
KK Jha, R Jha, AK Jha, MAM Hassan… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Machine learning (ML) is basically an area of Artificial Intelligence (AI) that has been a
cornerstone of digitalization solutions that have sparked significant interest in the virtual …
cornerstone of digitalization solutions that have sparked significant interest in the virtual …
Sarcasm detection over social media platforms using hybrid ensemble model with fuzzy logic
A figurative language expression known as sarcasm implies the complete contrast of what is
being stated with what is meant, with the latter usually being rather or extremely offensive …
being stated with what is meant, with the latter usually being rather or extremely offensive …
Sarcasm detection over social media platforms using hybrid auto-encoder-based model
Sarcasm is a language phrase that conveys the polar opposite of what is being said,
generally something highly unpleasant to offend or mock somebody. Sarcasm is widely …
generally something highly unpleasant to offend or mock somebody. Sarcasm is widely …
Adopting nonlinear activated beetle antennae search algorithm for fraud detection of public trading companies: a computational finance approach
B Liao, Z Huang, X Cao, J Li - Mathematics, 2022 - mdpi.com
With the emergence of various online trading technologies, fraudulent cases begin to occur
frequently. The problem of fraud in public trading companies is a hot topic in financial field …
frequently. The problem of fraud in public trading companies is a hot topic in financial field …
Analysis of credit card fraud detection using machine learning techniques
CH Sumanth, PP Kalyan, B Ravi… - 2022 7th International …, 2022 - ieeexplore.ieee.org
This project primarily concentrates on detecting credit card scam in reality. Credit card scam
is on increase as debit cards have become the preferred means of payment both for offline …
is on increase as debit cards have become the preferred means of payment both for offline …
An analysis on fraud detection in credit card transactions using machine learning techniques
Today, digitization is turning popular because of the ease and convenience of utilizing e-
commerce. People are selecting on-line payments and electronic shopping due to the …
commerce. People are selecting on-line payments and electronic shopping due to the …
[PDF][PDF] Unemployment Insurance Fraud in the Debit Card Market
We study fraud in the unemployment insurance (UI) system using a dataset of 35 million
debit card transactions. We apply machine learning techniques to group cards into clusters …
debit card transactions. We apply machine learning techniques to group cards into clusters …
[PDF][PDF] FakedBits-Detecting Fake Information on Social Platforms using Multi-Modal Features.
Social media play a significant role in communicating information across the globe,
connecting with loved ones, getting the news, communicating ideas, etc. However, a group …
connecting with loved ones, getting the news, communicating ideas, etc. However, a group …
Credit card fraud detection using XGBoost algorithm
AQ Abdulghani, ON Uçan… - 2021 14th International …, 2021 - ieeexplore.ieee.org
Credit card is one of the modern payment methods widely spread all over the world. It
provides excellent facilities in purchasing as well as selling operations. However, it suffers …
provides excellent facilities in purchasing as well as selling operations. However, it suffers …
An approach for detecting frauds in E-commerce transactions using machine learning techniques
This paper is primarily focused on E-commerce fraud detection using machine learning
techniques. There are many different ways to detect E-commerce fraud using machine …
techniques. There are many different ways to detect E-commerce fraud using machine …