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Fraud detection is a knowledge-intensive activity. The main AI techniques used for fraud detection include: Data mining to classify, cluster, and segment the data and automatically find associations and rules in the data that may signify interesting patterns, including those related to fraud.
Soda View/3D is a free PDF application users can use to open, view, and create PDF files. The flipping animation tool of its patent-pending 3D feature enables users to go through pages of PDF files. [6]
PDF24 Creator is an application software by Geek Software GmbH for the creation of PDF files from any application and for converting files to the PDF format. The application is released under a proprietary freeware license.
Can append output to an existing PDF file. Supports strong password-based PDF security. Allows PDF metadata—including author, title, subject, and keywords—to be set. Create files for PDF version 1.2, 1.3, 1.4, or 1.5; The software uses OpenCandy (which includes spyware) to deliver advertisements.
It is widely used in the financial sector, especially by accounting firms, to help detect fraud. In 2022, PricewaterhouseCoopers reported that fraud has impacted 46% of all businesses in the world. [1] The shift from working in person to working from home has brought increased access to data.
Detection of drive-by download attacks is an active area of research. Some methods of detection involve anomaly detection, which tracks for state changes on a user's computer system while the user visits a webpage. This involves monitoring the user's computer system for anomalous changes when a web page is rendered.
ML.NET is a free software machine learning library for the C# and F# programming languages. [4] [5] [6] It also supports Python models when used together with NimbusML.The preview release of ML.NET included transforms for feature engineering like n-gram creation, and learners to handle binary classification, multi-class classification, and regression tasks. [7]
Fraud deterrence is based on the premise that fraud is not a random occurrence; fraud occurs where the conditions are right for it to occur. Fraud deterrence attacks the root causes and enablers of fraud; this analysis could reveal potential fraud opportunities in the process, but is performed on the premise that improving organizational procedures to reduce or eliminate the causal factors of ...