Relational data mining
http://dbpedia.org/resource/Relational_data_mining an entity of type: TopicalConcept
Relational data mining is the data mining technique for relationaldatabases. Unlike traditional data mining algorithms, which look forpatterns in a single table, relational data mining algorithms look for patterns among multiple tables. For most types of propositionalpatterns, there are corresponding relational patterns. For example,there are relational classification rules (relational classification), relational regression tree, and relational association rules. There are several approaches to relational data mining:
rdf:langString
rdf:langString
Relational data mining
xsd:integer
926722
xsd:integer
1055879414
rdf:langString
Relational data mining is the data mining technique for relationaldatabases. Unlike traditional data mining algorithms, which look forpatterns in a single table, relational data mining algorithms look for patterns among multiple tables. For most types of propositionalpatterns, there are corresponding relational patterns. For example,there are relational classification rules (relational classification), relational regression tree, and relational association rules. There are several approaches to relational data mining: 1.
* Inductive Logic Programming (ILP) 2.
* Statistical Relational Learning (SRL) 3.
* Graph Mining 4.
* Propositionalization 5.
* Multi-view learning
xsd:nonNegativeInteger
3012