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  2. Semantic data model - Wikipedia

    en.wikipedia.org/wiki/Semantic_data_model

    A semantic data model in software engineering has various meanings: It is a conceptual data model in which semantic information is included. This means that the model describes the meaning of its instances. Such a semantic data model is an abstraction that defines how the stored symbols (the instance data) relate to the real world. [1] It is a ...

  3. Data model - Wikipedia

    en.wikipedia.org/wiki/Data_model

    Overview of a data-modeling context: Data model is based on Data, Data relationship, Data semantic and Data constraint. A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional specification to aid a computer software make-or-buy decision.

  4. Statistical model - Wikipedia

    en.wikipedia.org/wiki/Statistical_model

    Statistical model. A statistical model is a mathematical model that embodies a set of statistical assumptions concerning the generation of sample data (and similar data from a larger population ). A statistical model represents, often in considerably idealized form, the data-generating process. [1]

  5. Data-driven model - Wikipedia

    en.wikipedia.org/wiki/Data-driven_model

    Data-driven model. Data-driven models are a class of computational models that primarily rely on historical data collected throughout a system's or process' lifetime to establish relationships between input, internal, and output variables. Commonly found in numerous articles and publications, data-driven models have evolved from earlier ...

  6. Modeling and simulation - Wikipedia

    en.wikipedia.org/wiki/Modeling_and_simulation

    Modeling and simulation ( M&S) is the use of models (e.g., physical, mathematical, behavioral, or logical representation of a system, entity, phenomenon, or process) as a basis for simulations to develop data utilized for managerial or technical decision making. [1] [2]

  7. Statistical model specification - Wikipedia

    en.wikipedia.org/wiki/Statistical_model...

    One approach is to start with a model in general form that relies on a theoretical understanding of the data-generating process. Then the model can be fit to the data and checked for the various sources of misspecification, in a task called statistical model validation. Theoretical understanding can then guide the modification of the model in ...

  8. Hierarchical database model - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_database_model

    Hierarchical database model. A hierarchical database model is a data model in which the data are organized into a tree -like structure. The data are stored as records which are connected to one another through links. A record is a collection of fields, with each field containing only one value. The type of a record defines which fields the ...

  9. Generic data model - Wikipedia

    en.wikipedia.org/wiki/Generic_data_model

    A generic data model shall consist of generic entity types, such as 'individual thing', 'class', 'relationship', and possibly a number of their subtypes. Every individual thing is an instance of a generic entity called 'individual thing' or one of its subtypes. Every individual thing is explicitly classified by a kind of thing ('class') using ...