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  2. Data analysis for fraud detection - Wikipedia

    en.wikipedia.org/wiki/Data_analysis_for_fraud...

    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.

  3. Credit card fraud - Wikipedia

    en.wikipedia.org/wiki/Credit_card_fraud

    The Payment Card Industry Data Security Standard (PCI DSS) is the data security standard created to help financial institutions process card payments securely and reduce card fraud. [2] Credit card fraud can be authorised, where the genuine customer themselves processes payment to another account which is controlled by a criminal, or ...

  4. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    There are two markups for Outlier detection (point anomalies) and Changepoint detection (collective anomalies) problems 30+ files (v0.9) CSV Anomaly detection: 2020 (continually updated) [322] [323] Iurii D. Katser and Vyacheslav O. Kozitsin On the Evaluation of Unsupervised Outlier Detection: Measures, Datasets, and an Empirical Study

  5. Credit card debt - Wikipedia

    en.wikipedia.org/wiki/Credit_card_debt

    Infographic about credit card debt in the US (2010) Consumer and government debt as a % of GDP (United States) Consumer and government debt in the United States. Credit card debt results when a client of a credit card company purchases an item or service through the card system. Debt grows through the accrual of interest and penalties when the ...

  6. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  7. Benford's law - Wikipedia

    en.wikipedia.org/wiki/Benford's_law

    This is an accepted version of this page This is the latest accepted revision, reviewed on 27 September 2024. Observation that in many real-life datasets, the leading digit is likely to be small Not to be confused with the unrelated adage Benford's law of controversy. The distribution of first digits, according to Benford's law. Each bar represents a digit, and the height of the bar is the ...

  8. Money laundering - Wikipedia

    en.wikipedia.org/wiki/Money_laundering

    Transaction Laundering: When a merchant unknowingly processes illicit credit card transactions for another business. [27] It is a growing problem [28] [29] and recognised as distinct from traditional money laundering in using the payments ecosystem to hide that the transaction even occurred [30] (e.g. the use of fake front websites [31]). Also ...

  9. Friendly fraud - Wikipedia

    en.wikipedia.org/wiki/Friendly_fraud

    Again, the use of card security codes [8] can show that the cardholder (or, in the case of the three-digit security codes written on the backs of U.S. credit cards, someone with physical possession of the card or at least knowledge of the number and the code) was present, but even the entry of a security code at purchase does not by itself ...

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