Attribute-Value

Name	Attribute-Value
Description	If a learning algorithm uses an attribute-value representation, each instance of the underlying universe of discourse is described by the values of a given set of attributes, as common in relational databases. Each attribute can be regarded as a function, mapping the universe of discourse to a specific domain. If we say the example language of a learning algorithm is an attribute-value representation, without specifying the type of attributes, we usually mean, that the domain of each attribute is finite or nominal and each value is treated by the learning algorithm without using a specific interpretation. In contrast, if we talk about numerical attributes, we often think of attributes having infinite domains with a natural interpretation a learning algorithm may use.
Translations	Attribut-Werte (German)
Methods	AQn CANDIDATE-ELIMINATION CART COBWEB ID3 Incremental decision tree learning Star Top-Down Induction of Decision Trees (TDIDT)