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  2. California Comprehensive Computer Data Access and Fraud Act

    en.wikipedia.org/wiki/California_Comprehensive...

    The California Comprehensive Computer Data Access and Fraud Act is in §502 of the California Penal Code. According to the State Administrative Manual of California, the Act affords protection to individuals, businesses, and governmental agencies from tampering, interference, damage, and unauthorized access to lawfully created computer data and ...

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  4. California Penal Code - Wikipedia

    en.wikipedia.org/wiki/California_Penal_Code

    The Penal Code enacted by the California State Legislature in February 1872 was derived from a penal code proposed by the New York code commission in 1865 which is frequently called the Field Penal Code after the most prominent of the code commissioners, David Dudley Field II (who did draft the commission's other proposed codes). [1]

  5. California Department of Financial Protection and Innovation

    en.wikipedia.org/wiki/California_Department_of...

    The California Consumer Financial Protection Law (CCFPL) gave the DFPI expanded enforcement powers to protect California consumers from unfair, deceptive, or abusive practices committed by unlicensed financial services or products; COVID-19 pandemic-inspired scams; and a regulatory retreat by some federal agencies, most notably the Consumer ...

  6. California Department of Consumer Affairs - Wikipedia

    en.wikipedia.org/wiki/California_Department_of...

    The California Department of Consumer Affairs (DCA) is a department within the California Business, Consumer Services, and Housing Agency.DCA's stated mission is to serve the interests of California's consumers by ensuring a standard of professionalism in key industries and promoting informed consumer practices.

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  9. Data analysis for fraud detection - Wikipedia

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

    Relatively rare events such as fraud may need to be over sampled to get a big enough sample size. [10] These manually classified records are then used to train a supervised machine learning algorithm. After building a model using this training data, the algorithm should be able to classify new records as either fraudulent or non-fraudulent.