The Effect of Fraud Pentagon and F-Score Model in Detecting Fraudulent Financial Reporting in Indonesia by Ardhi Nugraha Putra, Agung Dinarjito

“…Keywords: F-Score, accounting fraud, fraud detection, fraud pentagon, fraudulent financial reporting…”
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A Comparative Analysis on the Relative Success of Mixed-Models for Financial Statement Fraud Risk Estimation by Mustafa UĞURLU, Şerafettin SEVİM

“…Loses which are caused by financial statement fraud (FSF) revealed the necessity of early warning system in fraud detection. In this context, many models have been improved. …”
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How the machine ‘thinks’: Understanding opacity in machine learning algorithms by Jenna Burrell

“…This article considers the issue of opacity as a problem for socially consequential mechanisms of classification and ranking, such as spam filters, credit card fraud detection, search engines, news trends, market segmentation and advertising, insurance or loan qualification, and credit scoring. …”
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Metrics in small-sized Quran dataset for Benford’s law by M. Jaffar, M. Z. A., Zailan, A. N., Izamuddin, N. H.

“…Benford’s law is widely applied in testing anomalies in various dataset, including accounting fraud detection and population numbers. It is a statistical regularity, which is said that it works better with larger datasets that span large orders of magnitude distributed in a non-uniform way. …”

Exploring Social Relationships in Text Streams by Ye Wang

“…Its applications can be seen in various scenarios ranging from market planning, fraud detection to the protection of national security. …”
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The role of financial audit in detecting fraud by Monika Szczerbak

“…Therefore, the development and implementation of an effective fraud detection system is not an easy process for business entities. …”
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Synergy of Blockchain Technology and Data Mining Techniques for Anomaly Detection by Aida Kamišalić, Renata Kramberger, Iztok Fister

“…Special attention was paid to anomaly detection and fraud detection, which were identified as the most prolific applications of applying data mining methods on blockchain data. …”
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Out-of-Distribution (OOD) Detection Based on Deep Learning: A Review by Peng Cui, Jinjia Wang

“…OOD detection has achieved good intrusion detection, fraud detection, system health monitoring, sensor network event detection, and ecosystem interference detection. …”
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The Evaluation of Distributed Topic Modeling Paradigms for Detection Of Fraudulent Insurance Claims In Healthcare Forum by Subbarayudu Yerragudipadu, Vijendar Reddy Gurram, Sandhya Meesala, Bhargavi Jammi, Abhilash P.K., Pushkarna Gaurav

“…Overall, the public benefits from healthcare insurance fraud detection because it supports equitable, open, and effective healthcare systems.…”
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Detecting fabrication in large-scale molecular omics data. by Michael S Bradshaw, Samuel H Payne

“…As recent advances in high-throughput omics technologies have moved biology into the realm of big-data, fraud detection methods must be updated for sophisticated computational fraud. …”
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METRICS IN SMALL-SIZED QURAN DATASET FOR BENFORD’S LAW by M. Z. A. M. Jaffar, A. N. Zailan, N. H. Izamuddin

“…Benford’s law is widely applied in testing anomalies in various dataset, including accounting fraud detection and population numbers. It is a statistical regularity, which is said that it works better with larger datasets that span large orders of magnitude distributed in a non-uniform way. …”
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A Comparative Evaluation of Unsupervised Anomaly Detection Algorithms for Multivariate Data. by Markus Goldstein, Seiichi Uchida

“…This challenge is known as unsupervised anomaly detection and is addressed in many practical applications, for example in network intrusion detection, fraud detection as well as in the life science and medical domain. …”
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An Action Management System Design and Case Study on Its Usage for Cyber Fraud Prevention and Risk Analysis by Abdulkadir BATTAL, Ruya SAMLI

“…One of the more important problems in cyber world is “fraud detection”. It is known that, malicious uses in the cyber world are increasing rapidly, fraudsters who seek openness in systems cause material and moral damages to both individuals and companies. …”
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The dynamic role of the Internet of Things (IoT) on the excel performance of Islamic banks in United Arab Emirates by Hisham O. Mbaidin

“…The findings strongly support the hypotheses that IoT integration improves Islamic banking performance in the UAE, such as data analytics, customer service, automation systems, fraud detection capabilities, and asset-backed finance, while aligning with Sharia Principles and improving risk-sharing mechanisms. …”
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Performance Analysis and Prediction Student Performance to build effective student Using Data Mining Techniques by Sirwan M. Aziz, Ardalan Husin Awlla

“…It is effectively applied in the field of fraud detection, marketing, promoting, forecast and loan assessment. …”
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Data science: opportunities to transform education by Nataliia P. Volkova, Nina O. Rizun, Maryna V. Nehrey

“…Data science is used in business for business analytics and production, in sales for offerings and, for sales forecasting, in marketing for customizing customers, and recommendations on purchasing, digital marketing, in banking and insurance for risk assessment, fraud detection, scoring, and in medicine for disease forecasting, process automation and patient health monitoring, in tourism in the field of price analysis, flight safety, opinion mining etc. …”
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Credit unions and data analytics: How sophisticated analytics can drive profitability for local credit unions by Jackson Andreana Millerman

“…As almost all info made in net banking as well as ATM transactions is unstructured, accounting for approximately 2.5 quintillion bytes invaluable for client satisfaction, risk management, and fraud detection, the use of trending Big Data Analytics techniques could be used to deal with the difficulties and competition among banks. …”
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Empirical Convergence Theory of Harmony Search Algorithm for Box-Constrained Discrete Optimization of Convex Function by Jin Hee Yoon, Zong Woo Geem

“…So far, it has been applied to various scientific and engineering optimization problems including project scheduling, structural design, energy system operation, car lane detection, ecological conservation, model parameter calibration, portfolio management, banking fraud detection, law enforcement, disease spread modeling, cancer detection, astronomical observation, music composition, fine art appreciation, and sudoku puzzle solving. …”
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DETECTION OF CREDIT CARD FRAUDS WITH MACHINE LEARNING SOLUTIONS: AN EXPERIMENTAL APPROACH by Courage Mabani, Andrey A. Tuskov, Elizaveta V. Shchanina

“…Method or methodology of the work: the article uses machine learning (ML) and data mining methods Results: the paper showed that machine learning (ML) and data mining techniques are effective in improving fraud detection accuracy. The study proposes an experimental way to create ML solutions to the problem aimed at minimizing financial losses by monitoring the client’s behavior when using credit cards. …”
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Impacts of raw data temporal resolution using selected clustering methods on residential electricity load profiles by Granell, R, Axon, C, Wallom, D

“…The motivation for this work is to improve the clustering of electricity load profiles to help distinguish user types for tariff design and switching, fault and fraud detection, demand-side management, and energy efficiency measures. …”