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The term conceptual model refers to any model that is formed after a conceptualization or generalization process. [1] [2] Conceptual models are often abstractions of things in the real world, whether physical or social. Semantic studies are relevant to various stages of concept formation. Semantics is fundamentally a study of concepts, the ...
Entity–relationship modeling is a relational schema database modeling method, used in software engineering to produce a type of conceptual data model (or semantic data model) of a system, often a relational database, and its requirements in a top-down fashion.
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.
This is a high-level model with insufficient detail to build a complete, functional database. [3] It describes the structure of the whole database for a group of users. The conceptual model is also known as the data model that can be used to describe the conceptual schema when a database system is implemented.
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 ]
Likewise, conceptual frameworks are abstract representations, connected to the research project's goal that direct the collection and analysis of data (on the plane of observation – the ground). Critically, a football play is a "plan of action" tied to a particular, timely, purpose, usually summarized as long or short yardage. [ 15 ]
Enterprise modelling is the process of building models of whole or part of an enterprise with process models, data models, resource models and/or new ontologies etc. It is based on knowledge about the enterprise, previous models and/or reference models as well as domain ontologies using model representation languages. [3]
The main criterion is that the data collected should apply to a particular category or property, irrespective of the differences or similarities. The researcher's main focus is to keep the purpose of the research clear. As the researcher compares groups, he gains control over two scales of generality. They are: 1. Conceptual level 2.