Data Attribute Value

A Data Attribute Value is a data value for some data record attribute of a data record.

• AKA: Feature, Data Record Attribute Value, Attribute Value.
• Context:
  • It can be from a Data Attribute Domain.
  • It can define a Populated Data Record Attribute.
• Example(s):
  • blue, from Color = blue.
  • any Text Feature Value.
  • a Null Value.
• See: Ground Fact, Labeled Learning Record.

References

2009

• (Wikipedia, 2009) http://en.wikipedia.org/wiki/Attribute-value_system
  • An attribute-value system is a basic knowledge representation framework comprising a table with columns designating "attributes" (also known as "properties", "predicates," "features," "dimensions," "characteristics" or "independent variables" depending on the context) and rows designating "objects" (also known as "entities," "instances," "exemplars," "elements" or "dependent variables"). Each table cell therefore designates the value (also known as "state") of a particular attribute of a particular object.

2000

• (Witten & Frank, 2000) => Ian H. Witten, and Eibe Frank. (2000). "Data Mining: practical machine learning tools and techniques with Java implementations. Morgan Kaufmann.

1998

• (Kohavi & Provost, 1998) => Ron Kohavi, and Foster Provost. (1998). "Glossary of Terms." In: Machine Leanring 30(2-3).
  • Feature: A feature is the specification of an attribute and its value. For example, color is an attribute. ``Color is blue is a feature of an example. Many transformations to the attribute set leave the feature set unchanged (for example, regrouping attribute values or transforming multi-valued attributes to binary attributes). Some authors use feature as a synonym for attribute (e.g., in feature-subset selection).
  • Attribute (field, variable, feature): A quantity describing an instance. An attribute has a domain defined by the attribute type, which denotes the values that can be taken by an attribute. The following domain types are common: