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Computer science is a broad field which encompasses a number of different kinds of ideas. The structure of the main part of an article will vary with the type of article. Here are some general guidelines for structuring a few different classes of computer science articles.
Accurate data collection is essential to many business processes, [6] [7] [8] to the enforcement of many government regulations, [9] and to maintaining the integrity of scientific research. [10] Data collection systems are an end-product of software development. Identifying and categorizing software or a software sub-system as having aspects of ...
Data entry is the process of digitizing data by entering it into a computer system for organization and management purposes. It is a person-based process [ 1 ] and is "one of the important basic" [ 2 ] tasks needed when no machine-readable version of the information is readily available for planned computer-based analysis or processing.
Also simply application or app. Computer software designed to perform a group of coordinated functions, tasks, or activities for the benefit of the user. Common examples of applications include word processors, spreadsheets, accounting applications, web browsers, media players, aeronautical flight simulators, console games, and photo editors. This contrasts with system software, which is ...
Another example of a faceted classification scheme is the Universal Decimal Classification (UDC), a complex multilingual classification that can be used in all fields of knowledge. [12] The Universal Decimal Classification scheme was created at the end of the nineteenth century by Belgian bibliographers Paul Otlet and Henri la Fontaine .
Ways to study a system. The term computational scientist is used to describe someone skilled in scientific computing. Such a person is usually a scientist, an engineer, or an applied mathematician who applies high-performance computing in different ways to advance the state-of-the-art in their respective applied disciplines in physics, chemistry, or engineering.
The Computer Science Ontology (CSO) is an automatically generated taxonomy of research topics in the field of Computer Science. [ 1 ] [ 2 ] It was produced by the Open University in collaboration with Springer Nature by running an information extraction system over a large corpus of scientific articles. [ 3 ]
Pages in this category should be moved to subcategories where applicable. This category may require frequent maintenance to avoid becoming too large. It should directly contain very few, if any, pages and should mainly contain subcategories.