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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

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
The Impact of Network Sampling on Relational Classification
Many real-world networks, such as the Internet, social networks, biological networks are massive in size, which difficult… 
2014
2014
Statistically significant relational data mining :
This report summarizes the work performed under the project (3z(BStatitically significant relational data mining.(3y (BThe goal… 
Highly Cited
2013
Highly Cited
2013
Census Data Mining and Data Analysis using WEKA
Data mining (also known as knowledge discovery from databases) is the process of extraction of hidden, previously unknown and… 
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
Exploring the Power of Heuristics and Links in Multi-relational Data Mining
Relational databases are the most popular repository for structured data, and are thus one of the richest sources of knowledge in… 
2005
2005
Mining chains of relations
Traditional data mining applications consider the problem of mining a single relation between two attributes. For example, in a… 
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… 
2003
2003
Towards Object-Relational Data Mining
Mining data of complex data types (e.g. spatial, multimedial, etc.) is deemed an important research frontier in data mining… 
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… 
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