Results 81 to 90 of about 591,226 (204)

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUASAN PELANGGAN ONLINE

Jurnal Manajemen & Agribisnis, 2011
The objectives of this study  are to (1) analyze customer satisfaction with online shopping (2) determine factors influencing customer satisfactions with online shopping; (4) formulate strategies to increase customer satisfaction with online shopping ...
Amru Sahmono Boang Manalu, Ujang Sumarwan, Arif Imam Suroso   +2 more
doaj   +1 more source

Optimization of Deep Learning-Based Model for Identification of Credit Card Frauds

IEEE Access
With the growth of the internet, the landscape of commercial transactions has undergone significant changes. The digital revolution has permeated various aspects of our daily lives, notably transforming the financial system through digital money ...
Hemant Palivela, Vinay Rishiwal, Shashi Bhushan, Aziz Alotaibi, Udit Agarwal, Pramod Kumar, Mano Yadav   +6 more
doaj   +1 more source

EXPLORING THE POTENTIAL OF FEDERATED LEARNING TO EMPOWER CREDIT CARD FRAUDULENT TRANSACTION DETECTION WITH DEEP LEARNING TECHNIQUES [PDF]

Proceedings on Engineering Sciences
The rapid expansion of communication systems and computing technology has led to a significant increase in both traditional and online credit card transactions. Unfortunately, this surge has also resulted in a corresponding rise in fraudulent activities,
Chanda Sekhar Kolli , Venkata Naga Raju D , Pavan Kumar V , Srinivasa Rao D , Vinay , GAKS Rajeev kumarraju   +5 more
doaj   +1 more source

Handling Transactional Data Features via Associative Rule Mining for Mobile Online Shopping Platforms

International Journal of Advanced Computer Science and Applications
—Transactional data processing is often a reflection of a consumer's buying behavior. The relational records if properly mined, helps business managers and owners to improve their sales volume.
M. I. Akazue, Sebastina Nkechi Okofu, A. Ojugo, P. Ejeh, Christopher Chukwufunaya Odiakaose, Frances Emordi, R. E. Ako, V. Geteloma   +7 more
semanticscholar   +1 more source

Enhancing Analytical Select Statements Using Reference Aliases

IEEE Access
Data analytics is an inseparable part of the current information systems. Various tools can provide the analysis and produce results in any graphical form, enclosed by the complex filtering.
Michal Kvet, Jozef Papan
doaj   +1 more source

Real-Time Online Banking Fraud Detection Model by Unsupervised Learning Fusion

HighTech and Innovation Journal
Digital trades and payments are becoming increasingly popular, as they typically entail monetary transactions. This not only makes electronic transactions more convenient for the end customer, but it also raises the likelihood of fraud. An adequate fraud
Hanae Abbassi, Saida El Mendili, Youssef Gahi   +2 more
semanticscholar   +1 more source

Nonbanks in the payments system [PDF]

Nonbanks have always been a key component of the nation's payments system. In recent years, however, nonbanks have become even more prominent. This heightened visibility raises several questions. In which payments activities are nonbanks engaged?
Matt Davies, Stuart E. Weiner, Terri Bradford   +2 more
core  

NexoNet: Blockchain Online Social Media with User-Centric Multiple Incentive Mechanism and PoAP Consensus Mechanism

Applied Sciences
Online social media (OSM) has revolutionized the manner in which communication unfolds, enabling users to spontaneously generate, disseminate, share, and aggregate multimedia data across the internet.
Junzhe Zuo, Wei Guo, Li Ling
doaj   +1 more source

AI-Driven Anomaly Detection in E-Commerce Services: A Deep Learning and NLP Approach to the Isolation Forest Algorithm Trees

Journal of Theoretical and Applied Electronic Commerce Research
The accelerated development of e-commerce has given rise to sophisticated systems defined by significant user interaction, a variety of product offerings, and considerable quantities of structured and unstructured data.
Pascal Muam Mah, Iwona Skalna, Tomasz Pelech-Pilichowski   +2 more
doaj   +1 more source

An Integrated Preprocessing and Drift Detection Approach With Adaptive Windowing for Fraud Detection in Payment Systems

IEEE Access
As fraudulent transaction methods evolve rapidly; it becomes progressively more challenging to detect them in payment systems. Static machine learning and rule-based traditional detection methods cannot capture all the dynamic and evolving nature of ...
Hadi M. R. Al Lawati, Anazida Zainal, Bander Ali Saleh Al-Rimy, Mohammad Al-Azawi, Mohamad Nizam Kassim, Sultan Ahmed Almalki, Tami Abdulrahman Alghamdi   +6 more
doaj   +1 more source