Definition
Multi-relational data mining is the subfield of knowledge discovery that is concerned with the mining of multiple tables or relations in a database. This allows it to cope with structured data in the form of complex data that cannot easily be represented using a single table, or an attribute as is common in machine learning.
Relevant techniques of multi-relational data mining include those from relational learning, statistical relational learning, and inductive logic programming.
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Dzeroski S, Lavrac N (eds) (2001) Relational data mining. Springer, Berlin
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De Raedt, L. (2017). Multi-relational Data Mining. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_573
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DOI: https://doi.org/10.1007/978-1-4899-7687-1_573
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