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  2. Electronic signature - Wikipedia

    en.wikipedia.org/wiki/Electronic_signature

    An electronic signature, or e-signature, is data that is logically associated with other data and which is used by the signatory to sign the associated data. This type of signature has the same legal standing as a handwritten signature as long as it adheres to the requirements of the specific regulation under which it was created (e.g., eIDAS in the European Union, NIST-DSS in the USA or ...

  3. Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Excel

    Microsoft Excel is a spreadsheet editor developed by Microsoft for Windows, macOS, Android, iOS and iPadOS. It features calculation or computation capabilities, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications (VBA). Excel forms part of the Microsoft 365 suite of software.

  4. Category:NBA game log templates - Wikipedia

    en.wikipedia.org/.../Category:NBA_game_log_templates

    [[Category:NBA game log templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:NBA game log templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.

  5. Template:Refund log/doc - Wikipedia

    en.wikipedia.org/wiki/Template:Refund_log/doc

    This template can be used on personal CSD logs often created by the Twinkle feature to easily denote that the page is a blue link because it was refunded per the CSD: G13 guideline . {{Refund log}} Example: Refunded per G13: Draft:Magnetic Gear: CSD G13 ( { { db-afc }}); notified Ozykiss ( talk ยท contribs) 01:23, 19 February 2015 (UTC)

  6. Category:Game log templates - Wikipedia

    en.wikipedia.org/wiki/Category:Game_log_templates

    If the template has a separate documentation page (usually called "Template:template name/doc"), add [[Category:Game log templates]] to the <includeonly> section at the bottom of that page.

  7. Data analysis for fraud detection - Wikipedia

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

    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. Expert systems to encode expertise for detecting fraud in the form of rules.