Download or read book Context aware Credit Card Fraud Detection written by Johannes Jurgovsky and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Credit Card Fraud Detection Using Machine Learning with Integration of Contextual Knowledge written by Yvan Lucas and published by . This book was released on 2019 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: The detection of credit card fraud has several features that make it a difficult task. First, attributes describing a transaction ignore sequential information. Secondly, purchasing behavior and fraud strategies can change over time, gradually making a decision function learned by an irrelevant classifier. We performed an exploratory analysis to quantify the day-by-day shift dataset and identified calendar periods that have different properties within the dataset. The main strategy for integrating sequential information is to create a set of attributes that are descriptive statistics obtained by aggregating cardholder transaction sequences. We used this method as a reference method for detecting credit card fraud. We have proposed a strategy for creating attributes based on Hidden Markov Models (HMMs) characterizing the transaction from different viewpoints in order to integrate a broad spectrum of sequential information within transactions. In fact, we model the authentic and fraudulent behaviors of merchants and cardholders according to two univariate characteristics: the date and the amount of transactions. Our multi-perspective approach based on HMM allows automated preprocessing of data to model temporal correlations. Experiments conducted on a large set of data from real-world credit card transactions (46 million transactions carried out by Belgian cardholders between March and May 2015) have shown that the proposed strategy for pre-processing data based on HMMs can detect more fraudulent transactions when combined with the Aggregate Data Pre-Processing strategy.
Download or read book Fraud Prevention Techniques for Credit Card Fraud written by David A. Montague and published by Trafford Publishing. This book was released on 2004 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fraud is nothing new to the merchant. Since the beginning of time, man has always looked for the opportunity to defraud others - to gain goods or services without making payment. For the credit card industry, fraud is a part of doing business, and is something that is always a challenge. The merchants that are the best at preventing fraud are the ones that can adapt to change quickly. This book is written to provide information about how to prevent credit card fraud in the card-not-present space (mail order, telephone order, e-commerce). This book is meant to be an introduction to combating fraud, providing the basic concepts around credit card payment, the ways fraud is perpetrated, along with write ups that define and provide best practices on the use of 32 fraud-prevention techniques. 32 Detailed Fraud Prevention Techniques How to catch the Chameleon on the web Top 10 rules to prevent credit card fraud Understand common fraud schemes The one Fraud Prevention Technique no merchant can afford not to do Details on over 40 Vendors that sell fraud prevention tools and services, along with how to build it in-house Learn the anatomy of a Fraud Prevention Strategy
Download or read book Future Issues with Credit Card Fraud Detection Techniques written by Marvin Namanda and published by GRIN Verlag. This book was released on 2016-05-20 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Paper (undergraduate) from the year 2016 in the subject Business economics - Information Management, grade: 1, Federation University Australia, course: ITECH1006, language: English, abstract: Fraud is a contemporary ethical issue whose complexity is growing by day. The aims of this study are to identify the types of credit card fraud and to stipulate the future issues with the sector. The minor aim is to compare and analyze recent publication findings in future issues with credit card fraud detection. The significance of this paper is to allow the appreciation of the future issues with respect to credit card fraud detection techniques.
Download or read book Credit Card Fraud Detection and Analysis Through Machine Learning written by Yogita Goyal and published by . This book was released on 2020-07-28 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Preventing Credit Card Fraud written by Jen Grondahl Lee and published by Rowman & Littlefield. This book was released on 2017-03-17 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Everyone is affected by credit card fraud, if they are aware of it or not. Every day there are a variety of ways that scams and fraudsters can get your card and personal information. Today so much business occurs over the Internet or via the phone where no card is present. What can start as a seemingly legitimate purchase can easily turn into fraudulent charges – or worse, sometimes a physical confrontation, when a criminal steals a credit card from a consumer who meets to pick up a product or receive a service. In Preventing Credit Card Fraud, Jen Grondahl Lee and Gini Graham Scott provide a helpful guide to protecting yourself against the threat of credit card fraud. While it may not be possible to protect yourself against all fraudsters, who have turned scamming Internet businesses into an art, these tips and techniques will help you avoid many frauds. As a growing concern in today’s world, there is a need to be better informed of what you can do to keep your personal information secure and avoid becoming a victim of credit card fraud. Preventing Credit Card Fraud is an important resource for both merchants and consumers engaged in online purchases and sales to defend themselves against fraud.
Download or read book Detecting Credit Card Fraud written by and published by . This book was released on 2020 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advancements in the modern age have brought many conveniences, one of those being credit cards. Providing an individual the ability to hold their entire purchasing power in the form of pocket-sized plastic cards have made credit cards the preferred method to complete financial transactions. However, these systems are not infallible and may provide criminals and other bad actors the opportunity to abuse them. Financial institutions and their customers lose billions of dollars every year to credit card fraud. To combat this issue, fraud detection systems are deployed to discover fraudulent activity after they have occurred. Such systems rely on advanced machine learning techniques and other supportive algorithms to detect and prevent fraud in the future. This work analyzes the various machine learning techniques for their ability to efficiently detect fraud and explores additional state-of-the-art techniques to assist with their performance. This work also proposes a generalized strategy to detect fraud regardless of a dataset's features or unique characteristics. The high performing models discovered through this generalized strategy lay the foundation to build additional models based on state-of-the-art methods. This work expands on the issues of fraud detection, such as missing data and unbalanced datasets, and highlights models that combat these issues. Furthermore, state-of-the-art techniques, such as adapting to concept drift, are employed to combat fraud adaptation.
Download or read book Fraud Analytics Using Descriptive Predictive and Social Network Techniques written by Bart Baesens and published by John Wiley & Sons. This book was released on 2015-07-27 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention. It is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak. Examine fraud patterns in historical data Utilize labeled, unlabeled, and networked data Detect fraud before the damage cascades Reduce losses, increase recovery, and tighten security The longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence.
Download or read book 100 Internet Credit Card Fraud Protected written by Vesper and published by Trafford Publishing. This book was released on 2000 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: These days credit card fraud has become a nightmare for every successful e-business. Thousands of stolen credit cards are used everyday to make purchases online. Until now most of the merchants haven't had any choice, except using homemade methods to fight swindlers. This book provides professional anti-fraud methods that can help you protect your business from credit card fraud. Written with the help of Universal Carders - a group of professional swindlers, it contains information unavailable before, tells stories which have never been told to the public. It lets you look at online stores through the eyes of swindlers, shows how they act, tells you why they do it and then teaches you how to stop them.
Download or read book 2019 18th International Symposium INFOTEH JAHORINA INFOTEH written by IEEE Staff and published by . This book was released on 2019-03-20 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: INFOTEH gathers the experts, scientists, engineers, researchers and students that deal with information technologies and their application in control, communication, production and electronic systems, power engineering and in other border areas
Download or read book Fraud Prevention Techniques written by David A. Montague and published by . This book was released on 2004-08-26 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Fraud is nothing new to the merchant. Since the beginning of time, man has always looked for the opportunity to defraud others - to gain goods or services without making payment. For the credit card industry, fraud is a part of doing business, and is something that is always a challenge. The merchants that are the best at preventing fraud are the ones that can adapt to change quickly. This book is written to provide information about how to prevent credit card fraud in the card-not-present space (mail order, telephone order, e-commerce). This book is meant to be an introduction to combating fraud, providing the basic concepts around credit card payment, the ways fraud is perpetrated, along with write ups that define and provide best practices on the use of 32 fraud-prevention techniques. 32 Detailed Fraud Prevention Techniques How to catch the Chameleon on the web Top 10 rules to prevent credit card fraud Understand common fraud schemes The one Fraud Prevention Technique no merchant can afford not to do Details on over 40 Vendors that sell fraud prevention tools and services, along with how to build it in-house Learn the anatomy of a Fraud Prevention Strategy
Download or read book Review on Credit Card Fraud Detection Using Data Mining Classification Techniques Machine Learning Algorithms written by Rahul Goyal and published by . This book was released on 2020 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining (DM) involves a core algorithm that enables data deeper than basic insights and knowledge. In fact, data mining is more part of knowledge discovery process. Credit card (CC) providers provide multiple cards to their customers. All credit card users must be genuine and sincere. Giving a card to any kind of mistake can lead to a financial crisis. Due to the rapid growth in cashless transactions, it is unlikely, Fake transactions can also be increased. A fraudulent transaction can be identified by studying credit cards of various behaviors as a previous transaction history data set. If there is any deviation from the available cost pattern, it is a bogus transaction. DM & machine learning techniques (MLT) are widely applied in credit card fraud detection (CCFD). In this survey paper we show an indication of various widely available DM & MLT for detecting credit card fraud.
Download or read book Anomaly Detection in Credit Card Transactions Using Machine Learning written by Meenu and published by . This book was released on 2020 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt: Anomaly Detection is a method of identifying the suspicious occurrence of events and data items that could create problems for the concerned authorities. Data anomalies are usually associated with issues such as security issues, server crashes, bank fraud, building structural flaws, clinical defects, and many more. Credit card fraud has now become a massive and significant problem in today's climate of digital money. These transactions carried out with such elegance as to be similar to the legitimate one. So, this research paper aims to develop an automatic, highly efficient classifier for fraud detection that can identify fraudulent transactions on credit cards. Researchers have suggested many fraud detection methods and models, the use of different algorithms to identify fraud patterns. In this study, we review the Isolation forest, which is a machine learning technique to train the system with the help of H2O.ai. The Isolation Forest was not so much used and explored in the area of anomaly detection. The overall performance of the version evaluated primarily based on widely-accepted metrics: precision and recall. The test data used in our research come from Kaggle.
Download or read book GIS written by Matt Duckham and published by CRC Press. This book was released on 2023-07-30 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes an entirely new chapter on AI and GIS, including ontologies and the Semantic Web, knowledge representation (KR) and spatial reasoning, machine learning and spatial analysis, and neural networks and deep learning. Presents new material reflecting the advances made in cloud computing, stream computing, and sensor networks, as well as extensively revised and updated content on cartography, visualization, and interaction design. Connects the technology to the social aspects and implications of GIS, including privacy and fair information practices, FATE (fairness, accountability, transparency, and ethics), and codes of conduct for responsible use of GIS. Integrates the necessary background to foundational areas, such as databases and data structures, algorithms and indexes, system architecture and AI, provided in context so readers new to those topics can still understand the concepts being discussed. Incorporates over 20 carefully explained spatial algorithms; over 60 inset boxes with in-depth material that enriches the central topics; and more than 300 color figures to support the reader in mastering key concepts. Welcomes a new coauthor, Qian (Chayn) Sun, to the third edition who brings her expertise in topics such as web mapping, cloud computing, critical geography, and machine learning with big spatial data.
Download or read book Analytics in a Big Data World written by Bart Baesens and published by John Wiley & Sons. This book was released on 2014-04-15 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and government Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.
Download or read book Credit Card Fraud Detection by Adaptive Neural Data Mining written by Rüdiger W. Brause and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Credit Card Fraud Detection with Discrete Choice Models and Misclassified Transactions written by Sanjeev Jha and published by . This book was released on 2009 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:
