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Relational data mining

Known as: Relational, Relational classification 
Relational data mining is the data mining technique for relationaldatabases. Unlike traditional data mining algorithms, which look forpatterns in a… 
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Related topics

Related topics

9 relations
Data miningDecision tree learningDeep feature synthesisInductive logic programming

Broader (2)

Machine learningRelational model

Papers overview

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2012
2012
A Fuzzy Approach for Multitype Relational Data Clustering
Mining interrelated data among multiple types of objects or entities is important in many real-world applications. Despite… 
2008
2008
Relational Neural Evolution Approach to Bank Failure Prediction
Relational neural networks as a concept offers a unique opportunity for improving classification accuracy by exploiting… 
2008
2008
Confidence-based Concept Discovery in Multi-Relational Data Mining
Multi-relational data mining has become popular due to the limitations of propositional prob- lem definition in structured… 
2005
2005
Comparison of graph-based and logic-based multi-relational data mining
We perform an experimental comparison of the graph-based multi-relational data mining system, Subdue, and the inductive logic… 
2003
2003
Efficient Multi-relational Classification by Tuple ID Propagation
Most of today’s structured data is stored in relational databases. In contrast, most classification approaches only apply on… 
Review
2003
Review
2003
Multirelational data mining 2003: workshop report
In this report, we briefly review the second International Workshop on Multi-Relational Data Mining (MRDM-03), which was… 
2002
2002
Towards Structural Logistic Regression: Combining Relational and Statistical Learning
Abstract Inductive logic programming (ILP) techniques are useful for analyzing data in multi-table relational databases. Learned… 
2002
2002
Object Identity as Search Bias for Pattern Spaces
In the context of frequent pattern discovery, we present a generality relation, called θOI-subsumption, which is based on the… 
2002
2002
Mining Spatial Association Rules in Census Data: A Relational Approach
In this paper we propose a method for the discovery of spatial association rules, that is, association rules involving spatial… 
2001
2001
Correlation and Sampling in Relational Data Mining
Data mining in relational data poses unique opportunities and challenges. In particular, relational autocorrelation provides an… 
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