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  2. High- and low-level - Wikipedia

    en.wikipedia.org/wiki/High-_and_low-level

    High-level and low-level, as technical terms, are used to classify, describe and point to specific goals of a systematic operation; and are applied in a wide range of contexts, such as, for instance, in domains as widely varied as computer science and business administration.

  3. Level of analysis - Wikipedia

    en.wikipedia.org/wiki/Level_of_analysis

    Level of analysis is used in the social sciences to point to the location, size, or scale of a research target. It is distinct from unit of observation in that the former refers to a more or less integrated set of relationships while the latter refers to the distinct unit from which data have been or will be gathered.

  4. Aggregate data - Wikipedia

    en.wikipedia.org/wiki/Aggregate_data

    A diagram showing the basic meaning of aggregate data, which is a combination of individual data. Aggregate data is high-level data which is acquired by combining individual-level data. For instance, the output of an industry is an aggregate of the firms’ individual outputs within that industry. [1]

  5. Worst-case execution time - Wikipedia

    en.wikipedia.org/wiki/Worst-case_execution_time

    Static analysis techniques have dominated research in the area since the late 1980s, although in an industrial setting, end-to-end measurements approaches were the standard practice. Static analysis tools work at a high-level to determine the structure of a program's task, working either on a piece of source code or disassembled binary ...

  6. Requirements analysis - Wikipedia

    en.wikipedia.org/wiki/Requirements_analysis

    Conceptually, requirements analysis includes three types of activities: [citation needed] Eliciting requirements: (e.g. the project charter or definition), business process documentation, and stakeholder interviews. This is sometimes also called requirements gathering or requirements discovery.

  7. Data fusion - Wikipedia

    en.wikipedia.org/wiki/Data_fusion

    Data fusion processes are often categorized as low, intermediate, or high, depending on the processing stage at which fusion takes place. [1] Low-level data fusion combines several sources of raw data to produce new raw data. The expectation is that fused data is more informative and synthetic than the original inputs.

  8. Higher-order thinking - Wikipedia

    en.wikipedia.org/wiki/Higher-order_thinking

    It is a notion that students must master the lower level skills before they can engage in higher-order thinking. However, the United States National Research Council objected to this line of reasoning, saying that cognitive research challenges that assumption, and that higher-order thinking is important even in elementary school.

  9. High Level Architecture - Wikipedia

    en.wikipedia.org/wiki/High_Level_Architecture

    The High Level Architecture (HLA) is a standard for distributed simulation, used when building a simulation for a larger purpose by combining (federating) several simulations. [1] The standard was developed in the 1990s under the leadership of the US Department of Defense [ 2 ] and was later transitioned to become an open international IEEE ...