The phrase "attributes that represent" is correct and usable in written English.
You can use it when discussing characteristics or features that symbolize or stand for something else, often in technical or descriptive contexts.
Example: "The attributes that represent the quality of the product include durability, design, and functionality."
Alternatives: "features that signify" or "characteristics that denote".
So, it is important to identify the attributes that represent this context.
Decision maker attitudes on attributes that represent secondary or minor impacts of the project may be risk prone.
Tracking these attributes, that represent the self could help people visualize the self and allow people to be self-aware, self-improving, and self-interested (Schüll 2016; Swan 2013).
The context [11] has been defined as set of attributes that represent various characteristics of a system, such as available buffer space, maximum buffer space, information about node's community etc.
As in the intention recognizer, the user simulation generates the user intention level, that is, the user simulator provides concepts and attributes that represent the intention of the user utterance.
The algorithm defines the structural information in an image as those attributes that represent the structure of the objects in the scene, independent of the average luminance and contrast.
However, in German there are also expressions that directly point to a specific kind of regurgitation, for example, the object-attribute compound "Mitralklappeninsuffizienz" of the object attribute that represents regurgitation.
The property information is described as sets of property terms that represent attributes of the nodes, e.g., Gene Ontology (GO) terms [ 5] for genes and proteins.
Pustejovsky [11] uses the concept of qualia structure to represent the attributes that constitute an object, parts, purpose and function, creation mode, etc. Qualia roles express noun basic semantic features.
Also, in data preparation CRISP-DM phase it is possible to derive new attributes that best represent the existing information or to simplify DM algorithms processing.
Key performance attributes (KPAs) and key functional attributes (KFAs) are linguistic terms that represent the non-functional and functional requirements of the architecture.
