Performance evaluation of intrusion detection streaming transactions using apache kafka and spark streaming

MT Tun, DE Nyaung, MP Phyu - 2019 international conference …, 2019 - ieeexplore.ieee.org
In the information era, the size of network traffic is complex because of massive Internet-
based services and rapid amounts of data. The more network traffic has enhanced, the more …

Challenges and complexities in machine learning based credit card fraud detection

GK Kulatilleke - arXiv preprint arXiv:2208.10943, 2022 - arxiv.org
Credit cards play an exploding role in modern economies. Its popularity and ubiquity have
created a fertile ground for fraud, assisted by the cross boarder reach and instantaneous …

Role of data science and data analytics in forensic accounting and fraud detection

JO Odia, OT Akpata - … of research on engineering, business, and …, 2021 - igi-global.com
The chapter examines the roles of data science and big data analytics to forensic
accountants and fraud detection. It also considers how data science techniques could be …

Credit card fraud detection-classifier selection strategy

GK Kulatilleke - arXiv preprint arXiv:2208.11900, 2022 - arxiv.org
Machine learning has opened up new tools for financial fraud detection. Using a sample of
annotated transactions, a machine learning classification algorithm learns to detect frauds …

[PDF][PDF] Fraud detection techniques in the big data era

H Abbassi, I El Alaoui, Y Gahi - … on big data, modelling and machine …, 2022 - scitepress.org
In this age of digital technology, the methodology, complexity, and extent of fraud are
drastically increasing, comprising various sectors such as credit card transactions, insurance …

[PDF][PDF] FORENSIC ACCOUNTING AND THE ENHANCEMENT OF THE QUALITY OF FINANCIAL STATEMENT: MODERATING MDA's IN THE PUBLIC SECTOR IN …

IS AKINADEWO, JU AKPAN… - The Seybold …, 2023 - researchgate.net
The misappropriation and low quality of financial statement in the public sector motivated
this study. The study investigated the effect of forensic accounting on the enhancement of …

Credit card fraud detection using Apache Spark analysis

S Ananthu, N Sethumadhavan… - 2021 5th international …, 2021 - ieeexplore.ieee.org
Credit card fraud is an ever-growing threat to the financial industry. High dependence on
internet technology leads to an increase in fraudulent transactions. Nowadays, banking …

Empirical study of Machine Learning Classifier Evaluation Metrics behavior in Massively Imbalanced and Noisy data

GK Kulatilleke, S Samarakoon - arXiv preprint arXiv:2208.11904, 2022 - arxiv.org
With growing credit card transaction volumes, the fraud percentages are also rising,
including overhead costs for institutions to combat and compensate victims. The use of …

Audit opinion decision using artificial intelligence techniques: empirical study of UK and Ireland

A Nawaiseh - 2021 - bura.brunel.ac.uk
The reliability and quality of a final decision regarding auditing opinion is a significant issue
for auditors. The new field of data mining in auditing remains in its infancy and is …

Sistema de Recomendações em Tempo Real com Spark-Streaming

GP Barros - 2021 - search.proquest.com
Apresenta-se o nome Triangulum como fictício para preservação dos dados da empresa. A
empresa Triangulum Comunicação Ltda. é umas das maiores no segmento de …