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  2. View and manage data associated with your account - AOL Help

    help.aol.com/articles/view-and-manage-data...

    A file containing your data will then start to download to your computer or device. Cancel your download request: 1. Go down to "Download Request In Progress." 2.

  3. Data cleansing - Wikipedia

    en.wikipedia.org/wiki/Data_cleansing

    Data cleansing may also involve harmonization (or normalization) of data, which is the process of bringing together data of "varying file formats, naming conventions, and columns", [2] and transforming it into one cohesive data set; a simple example is the expansion of abbreviations ("st, rd, etc." to "street, road, etcetera").

  4. Clear cache on a web browser - AOL Help

    help.aol.com/articles/clear-cookies-cache...

    This data will be recreated every time you visit the webpage, though at times it can become corrupted. Clearing the cache deletes these files and fixes problems like outdated pages, websites freezing, and pages not loading or being unresponsive. • Clear your browser's cache in Edge • Clear your browser's cache in Safari

  5. Clear your browser's cache on AOL Desktop Gold

    help.aol.com/articles/using-the-web-in-aol...

    2. Sign in with your username and password. 3. In the top menu bar, click the Settings icon . 4. In the left menu, click Browser. 5. Click the Security tab. 6. Click Clear Footprints Now. 7. Select the data you'd like to clear and click Clear Footprints Now. Empty the cache each time you quit Desktop Gold - Select the Browser Cache checkbox.

  6. Metadata removal tool - Wikipedia

    en.wikipedia.org/wiki/Metadata_removal_tool

    To securely delete the metadata of a PDF file, it is important to linearize the PDF file afterwards, otherwise changes are reversible and the metadata can be recovered. [5] [6] Metadata removal tools are also commonly used to reduce the overall sizes of files, particularly image files posted on the Web.

  7. Data sanitization - Wikipedia

    en.wikipedia.org/wiki/Data_sanitization

    These data types are termed soft for electronic files and hard for physical media paper copies. Data sanitization methods are also applied for the cleaning of sensitive data, such as through heuristic-based methods, machine-learning based methods, and k-source anonymity. [2]

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