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  2. Missing data - Wikipedia

    en.wikipedia.org/wiki/Missing_data

    Missing not at random (MNAR) (also known as nonignorable nonresponse) is data that is neither MAR nor MCAR (i.e. the value of the variable that's missing is related to the reason it's missing). [5] To extend the previous example, this would occur if men failed to fill in a depression survey because of their level of depression.

  3. Flat-file database - Wikipedia

    en.wikipedia.org/wiki/Flat-file_database

    A flat-file database is a database stored in a file called a flat file. Records follow a uniform format, and there are no structures for indexing or recognizing relationships between records. The file is simple. A flat file can be a plain text file (e.g. csv, txt or tsv), or a binary file. Relationships can be inferred from the data in the ...

  4. Lightning Memory-Mapped Database - Wikipedia

    en.wikipedia.org/wiki/Lightning_Memory-Mapped...

    On a modern filesystem with sparse file support, this helps minimise actual disk usage. The file format of LMDB is, unlike that of Berkeley DB, architecture-dependent. This means that a conversion must be done before moving a database from a 32-bit machine to a 64-bit machine, [8] or between computers of differing endianness.

  5. Software testing - Wikipedia

    en.wikipedia.org/wiki/Software_testing

    One option for interface testing is to keep a separate log file of data items being passed, often with a timestamp logged to allow analysis of thousands of cases of data passed between units for days or weeks. Tests can include checking the handling of some extreme data values while other interface variables are passed as normal values. [42]

  6. Entity–attribute–value model - Wikipedia

    en.wikipedia.org/wiki/Entity–attribute–value...

    An entity–attribute–value model (EAV) is a data model optimized for the space-efficient storage of sparse—or ad-hoc—property or data values, intended for situations where runtime usage patterns are arbitrary, subject to user variation, or otherwise unforeseeable using a fixed design.

  7. Social media analytics - Wikipedia

    en.wikipedia.org/wiki/Social_media_analytics

    To derive wisdom from an unprocessed data, we need to start processing it, refine the dataset by including data that we want to focus on, and organize data to identify information. In the context of social media analytics, data identification means "what" content is of interest. In addition to the text of content, we want to know: who wrote the ...

  8. Order-maintenance problem - Wikipedia

    en.wikipedia.org/wiki/Order-maintenance_problem

    A problem related to the order-maintenance problem is the list-labeling problem in which instead of the order(X, Y) operation the solution must maintain an assignment of labels from a universe of integers {,, …,} to the elements of the set such that X precedes Y in the total order if and only if X is assigned a lesser label than Y.

  9. Wikipedia:Featured articles - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Featured_articles

    Featured articles comprise 6,696 out of a total of 6,956,993 articles on the English Wikipedia (about 0.1% or one out of every 1,030 articles). Articles that no longer meet the criteria can be proposed for improvement or removal at featured article review.