Encyclopedia of Machine Learning

2010 Edition
| Editors: Claude Sammut, Geoffrey I. Webb

Multi-Relational Data Mining

Reference work entry
DOI: https://doi.org/10.1007/978-0-387-30164-8_573



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.

Cross References

Recommended Reading

  1. Dzeroski, S., & Lavrac, N. (Eds.). (2001). Relational data mining. Berlin: Springer.zbMATHGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

There are no affiliations available