A Review of Payment Card Fraud Detection Methods Using Artificial Intelligence

2018 ◽  
Author(s):  
Eishvak Sengupta ◽  
Naman Jain ◽  
Dhruv Garg ◽  
Tanupriya Choudhury
Keyword(s):  
Artificial Intelligence ◽  
Fraud Detection ◽  
Detection Methods ◽  
Payment Card

scholarly journals An intelligent payment card fraud detection system

2021 ◽  
Author(s):  
Manjeevan Seera ◽  
Chee Peng Lim ◽  
Ajay Kumar ◽  
Lalitha Dhamotharan ◽  
Kim Hua Tan
Keyword(s):  
Detection System ◽  
Fraud Detection ◽  
Payment Card

scholarly journals Detection of Breast Cancer using AI Techniques – A Survey

2019 ◽  
Vol 7 (7) ◽  
pp. 08-12
Author(s):  
Riju Bhattacharya ◽  
Diksha Gupta ◽  
Divyatara Rathod
Keyword(s):  
Breast Cancer ◽  
Artificial Intelligence ◽  
Cancer Diagnostics ◽  
Detection Methods ◽  
Health Issues ◽  
Process Data ◽  
Mortality And Morbidity ◽  
Medical Progress ◽  
Glass Slides ◽  
Abnormal Cells

Cancer refers to any one of a large number of diseases characterized by the development of abnormal cells that divide uncontrollably and have the ability to infiltrate and destroy normal body tissue.Without treatment, it can cause serious health issues andresult in a loss of life. Breast cancer is the most common cancer among women around the world. Despite enormous medical progress, breast cancer has still remained the second leading cause of death worldwide. Early detection of cancer may reduce mortality and morbidity. This paper presents a review of the detection methods for cancer through Artificial Intelligence (AI) in different ways. Previously Microscopic reviews of tissues on glass slides are used for cancer diagnostics to improve diagnostic accuracy. We can use different techniques such as digital imaging and artificial intelligence algorithm. Cancer care is also advancing thanks to AI’s ability to collect and process data. Due to the nature of processing this information, the task is often a time-consuming and tedious job for doctors. This process may be made much easier, quicker and efficient through the advancement as well as by using modified technologies.

scholarly journals Machine Learning and Artificial Intelligence in Online Fake Transaction Alerting

2015 ◽  
Vol 3 (2) ◽  
pp. 115-126 ◽  
Author(s):  
Naresh Babu Bynagari
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Fraud Detection ◽  
Learning Ability ◽  
The Core ◽  
The Past ◽  
Music Selection ◽  
Intelligent Analysis ◽  
Set Up ◽  
Detection Mechanisms

Artificial Intelligence (AI) is one of the most promising and intriguing innovations of modernity. Its potential is virtually unlimited, from smart music selection in personal gadgets to intelligent analysis of big data and real-time fraud detection and aversion. At the core of the AI philosophy lies an assumption that once a computer system is provided with enough data, it can learn based on that input. The more data is provided, the more sophisticated its learning ability becomes. This feature has acquired the name "machine learning" (ML). The opportunities explored with ML are plentiful today, and one of them is an ability to set up an evolving security system learning from the past cyber-fraud experiences and developing more rigorous fraud detection mechanisms. Read on to learn more about ML, the types and magnitude of fraud evidenced in modern banking, e-commerce, and healthcare, and how ML has become an innovative, timely, and efficient fraud prevention technology.

A New Automated Energy Meter Fraud Detection System Based on Artificial Intelligence

2021 ◽  
Author(s):  
Joao Pedro Klock ◽  
Jhonatan Correa ◽  
Miguel Bessa ◽  
Janier Arias-Garcia ◽  
Felipe Barboza ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Detection System ◽  
Fraud Detection ◽  
Energy Meter

scholarly journals Explainable Fraud Detection for Few Labeled Time Series Data

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Zhiwen Xiao ◽  
Jianbin Jiao
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Research Work ◽  
Fraud Detection ◽  
Predictive Performance ◽  
Multiple Instance Learning ◽  
Detection Methods ◽  
Series Data ◽  
Causal Explanations ◽  
Detection Technology

Fraud detection technology is an important method to ensure financial security. It is necessary to develop explainable fraud detection methods to express significant causality for participants in the transaction. The main contribution of our work is to propose an explainable classification method in the framework of multiple instance learning (MIL), which incorporates the AP clustering method in the self-training LSTM model to obtain a clear explanation. Based on a real-world dataset and a simulated dataset, we conducted two comparative studies to evaluate the effectiveness of the proposed method. Experimental results show that our proposed method achieves the similar predictive performance as the state-of-art method, while our method can generate clear causal explanations for a few labeled time series data. The significance of the research work is that financial institutions can use this method to efficiently identify fraudulent behaviors and easily give reasons for rejecting transactions so as to reduce fraud losses and management costs.

scholarly journals The Impact of Artificial Intelligence on the Chess World

10.2196/24049 ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. e24049
Author(s):  
Delia Monica Duca Iliescu
Keyword(s):  
Artificial Intelligence ◽  
Detection Methods ◽  
The Impact

This paper focuses on key areas in which artificial intelligence has affected the chess world, including cheat detection methods, which are especially necessary recently, as there has been an unexpected rise in the popularity of online chess. Many major chess events that were to take place in 2020 have been canceled, but the global popularity of chess has in fact grown in recent months due to easier conversion of the game from offline to online formats compared with other games. Still, though a game of chess can be easily played online, there are some concerns about the increased chances of cheating. Artificial intelligence can address these concerns.

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