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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.
The IP code or ingress protection code indicates how well a device is protected against water and dust. It is defined by the International Electrotechnical Commission (IEC) under the international standard IEC 60529 [ 1 ] which classifies and provides a guideline to the degree of protection provided by mechanical casings and electrical ...
IP valuation is also beneficial in the enforcement of IP rights, for internal management of IP assets, and for various financial processes. The valuation process necessitates gathering much more information as well as in-depth understanding of economy , industry, and specific business that directly affect the value of the intellectual property .
American Intellectual Property Law Association (AIPLA) - Patent Registry Scams; Australian Patent Office - Warning!Unsolicited IP Services; Belgian Patent Office - Warning to inventors about fraudulent registration services, in (in Dutch) or (in French) (with link to a Decision of January 14, 2005 of a Belgian Appeal Court (Brussels, R.G. 2003/AR/2192 and 2003/AR/2356) (pdf) - in French)
The bar chart shows the performance sensitivity of key Isolation Forest parameters across different value ranges, based on Dal Pozzolo et al.'s Credit Card Fraud Detection dataset (2014), [11] highlighting tuning complexity. The Isolation Forest algorithm involves several key parameters that influence its behavior and effectiveness.
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The Common Vulnerability Scoring System (CVSS) is a technical standard for assessing the severity of vulnerabilities in computing systems. Scores are calculated based on a formula with several metrics that approximate ease and impact of an exploit.
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