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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.
diagrams.net (previously draw.io [2] [3]) is a cross-platform graph drawing software application developed in HTML5 and JavaScript. [4] Its interface can be used to create diagrams such as flowcharts , wireframes , UML diagrams, organizational charts , and network diagrams .
CHAID is based on a formal extension of AID (Automatic Interaction Detection) [4] and THAID (THeta Automatic Interaction Detection) [5] [6] procedures of the 1960s and 1970s, which in turn were extensions of earlier research, including that performed by Belson in the UK in the 1950s. [7] In 1975, the CHAID technique itself was developed in ...
Code diagrams (level 4): provide additional details about the design of the architectural elements that can be mapped to code. The C4 model relies at this level on existing notations such as Unified Modelling Language (UML) , Entity Relation Diagrams (ERD) or diagrams generated by Integrated Development Environments (IDE) .
SCIgen is a paper generator that uses context-free grammar to randomly generate nonsense in the form of computer science research papers. Its original data source was a collection of computer science papers downloaded from CiteSeer. All elements of the papers are formed, including graphs, diagrams, and citations.
CUJO AI offers a SaaS platform for network operators that helps in identification and restricting malicious activity on the home network. [13] [14] [15] It utilizes algorithms powered by machine learning and allows to precisely identify the devices and creates a personalized experience for the end-user.
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.
Identity threat detection and response (ITDR) is a cybersecurity discipline that includes tools and best practices to protect identity management infrastructure from attacks. ITDR can block and detect threats , verify administrator credentials, respond to various attacks, and restore normal operations. [ 1 ]