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Keyword

transaction classification

Description: Transaction classification is the categorization of financial transactions into defined types or groups, often using computational methods in accounting and finance.
OpenAlex ID: keywords/transaction-classification
Credit Card Fraud Detection - Machine Learning methods
2019 · Dejan Varmedja, Mirjana Karanovic, et al. · International Symposium INFOTEH-JAHORINA (INFOTEH) · 333
A Machine Learning and Blockchain Based Efficient Fraud Detection Mechanism
2022 · Tehreem Ashfaq, Rabiya Khalid, et al. · Sensors · 205
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Detecting credit card fraud by decision trees and support vector machines
2011 · Yusuf Şahin, Ekrem Duman · Dogus University Institutional Repository (Dogus University) · 193
Parallel granular neural networks for fast credit card fraud detection
2003 · M. Syeda, Yan-Qing Zhang, et al. · Proceedings of ... IEEE International Conference on Fuzzy Systems · 155
Credit Card Fraud Detection Based on Machine and Deep Learning
2020 · Hassan Najadat, Ola Altiti, et al. · International Conference on Information and Communication Systems (ICICS) · 135
Adverse effects of uniform written reporting standards on accounting practice, education, and research
2009 · Shyam Sunder · Journal of Accounting and Public Policy · 114
Data Mining Application in Credit Card Fraud Detection System
2011 · Francisca Nonyelum Ogwueleka · 101
Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model
2019 · Salvatore Carta, Gianni Fenu, et al. · Journal of Information Security and Applications · 88
Performance criteria for plastic card fraud detection tools
2007 · D J Hand, C Whitrow, et al. · Journal of the Operational Research Society · 79
Machine Learning for Credit Card Fraud Detection System
2022 · Saurabh Rahangdale, Sayali Gedam, et al. · International Journal of Advanced Research in Science Communication and Technology · 75
A model of B2B e‐commerce, based on connectivity and purpose
2007 · Andrea J. Cullen, Margaret Webster · International Journal of Operations & Production Management · 74
Using deep networks for fraud detection in the credit card transactions
2017 · Zahra Kazemi, Houman Zarrabi · 69
Fraud Detection in Credit Cards using Logistic Regression
2020 · Hala Z Alenzi, Nojood O · International Journal of Advanced Computer Science and Applications · 65
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Facilitating User Authorization from Imbalanced Data Logs of Credit Cards Using Artificial Intelligence
2020 · Vinay Arora, Rohan Singh Leekha, et al. · Mobile Information Systems · 60
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Fuzzy Darwinian Detection of Credit Card Fraud
2000 · Peter J. Bentley, Jungwon Kim, et al. · UCL Discovery (University College London) · 59
A Hybrid Deep Learning Approach with Generative Adversarial Network for Credit Card Fraud Detection
2024 · Ibomoiye Domor Mienye, Theo G. Swart · Technologies · 55
Anomaly detection in blockchain using network representation and machine learning
2021 · Kevin Martin, Mohamed Rahouti, et al. · Security and Privacy · 55
Managing a pool of rules for credit card fraud detection by a Game Theory based approach
2019 · Gabriele Gianini, Leopold Ghemmogne Fossi, et al. · Future Generation Computer Systems · 55
On atypical database transactions: identification of probable frauds using machine learning for user profiling
2002 · A.I. Kokkinaki · 53
Deep learning enhancing banking services: a hybrid transaction classification and cash flow prediction approach
2022 · Dimitrios Kotios, Georgios Makridis, et al. · Journal Of Big Data · 50
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Toward Detecting Illegal Transactions on Bitcoin Using Machine-Learning Methods
2019 · Chaehyeon Lee, Sajan Maharjan, et al. · Communications in computer and information science · 48
A rule-based machine learning model for financial fraud detection
2023 · Saiful Islam, Md. Mokammel Haque, et al. · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 44
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Credit Card Fraud Detection: An Improved Strategy for High Recall Using KNN, LDA, and Linear Regression
2023 · Jiwon Chung, Kyungho Lee · Sensors · 44
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Analysis of Classifier Algorithms to Detect Anti-Money Laundering
2021 · Ashwini Kumar, Sanjoy Das, et al. · Studies in computational intelligence · 44
Predicting Cryptocurrency Fraud Using ChaosNet: The Ethereum Manifestation
2023 · Anurag Dutta, Liton Chandra Voumik, et al. · Journal of risk and financial management · 40
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Works count: 859
Citation count: 5,216
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