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  2. Search suggest drop-down list - Wikipedia

    en.wikipedia.org/wiki/Search_suggest_drop-down_list

    A search suggest drop-down list is a query feature used in computing to show the searcher shortcuts, while the query is typed into a text box. Before the query is complete, a drop-down list with the suggested completions appears to provide options to select. The suggested queries then enable the searcher to complete the required search quickly.

  3. Drop-down list - Wikipedia

    en.wikipedia.org/wiki/Drop-down_list

    A drop-down list or drop-down menu or drop menu, with generic entries. A drop-down list (DDL), drop-down menu or just drop-down [1] – also known as a drop menu, pull-down list, picklist – is a graphical control element, similar to a list box, that allows the user to choose one value from a list either by clicking or hovering over the menu.

  4. Data validation - Wikipedia

    en.wikipedia.org/wiki/Data_validation

    Data type validation is customarily carried out on one or more simple data fields. The simplest kind of data type validation verifies that the individual characters provided through user input are consistent with the expected characters of one or more known primitive data types as defined in a programming language or data storage and retrieval ...

  5. Data dictionary - Wikipedia

    en.wikipedia.org/wiki/Data_dictionary

    Prompt type, such as drop-down list, combo-box, check-boxes, range, etc. Is-required (Boolean) - If 'true', the value can not be blank, null, or only white-spaces; Is-read-only (Boolean) Reference table name, if a foreign key. Can be used for validation or selection lists. Various event handlers or references to. Example: "on-click", "on ...

  6. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  7. jQWidgets - Wikipedia

    en.wikipedia.org/wiki/JQWidgets

    jQWidgets is a software framework with widgets (graphical control elements), themes, input validation, drag & drop plug-in, data adapters, built-in WAI-ARIA accessibility, internationalization and MVVM support. It is built on the open standards and technologies HTML5, CSS, JavaScript and jQuery. [3]

  8. Teva Pharmaceutical Industries (TEVA) Q4 2024 Earnings Call ...

    www.aol.com/teva-pharmaceutical-industries-teva...

    Image source: The Motley Fool. Teva Pharmaceutical Industries (NYSE: TEVA) Q4 2024 Earnings Call Jan 29, 2025, 8:00 a.m. ET. Contents: Prepared Remarks. Questions and Answers. Call Participants

  9. Data validation and reconciliation - Wikipedia

    en.wikipedia.org/wiki/Data_validation_and...

    Data reconciliation is a technique that targets at correcting measurement errors that are due to measurement noise, i.e. random errors.From a statistical point of view the main assumption is that no systematic errors exist in the set of measurements, since they may bias the reconciliation results and reduce the robustness of the reconciliation.