The phrase "abstraction of data" is correct and usable in written English.
It can be used in contexts related to computer science, data analysis, or information theory, where the focus is on simplifying complex data into a more manageable form.
Example: "The abstraction of data allows analysts to focus on key trends without getting lost in the details."
Alternatives: "data abstraction" or "data simplification".
The appraisal of studies for inclusion and abstraction of data were carried out independently by each author.
Information granules are complex entities that arise in the process of abstraction of data and derivation of knowledge.
Data collection procedures include school-based surveys of general populations of high school students; self-report questionnaires completed by crisis counselors; telephone interviews with suicidal individuals; and abstraction of data from crisis chat transcripts, medical records, and national and state mortality records.
Dual selection and abstraction of data will occur.
Interestingly, what we now call cloud also includes the abstraction of data, profiles, applications, networking and even the notion of stateful systems.
Domain model, logical system model, and implementation model are three layers for abstraction of data modeling in MDA.
However, these visualizations involve certain abstractions of data structures which are established independently in each system.
If the abstractions of data structures by existing systems were differ from teacher's explanations in the classrooms, learners may confuse in understanding by providing various visualization objects each of which has a different abstraction.
The sliding window model [2] is a commonly used data stream model, which can improve the processing efficiency of the data stream by logical abstraction of the data stream.
Consequently, semi-automatic abstraction of complex data within structured information spaces becomes increasingly important, if its knowledge content is to support intuitive, exploratory discovery.
While categories are closely and explicitly linked to the raw data, developing categories is a way to start the process of abstraction of the data (i.e. towards the general rather than the specific or anecdotal).
