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… (More)
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Papers overview

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Highly Cited
2012
Highly Cited
2012
The processing of complex data is admittedly among the major concerns of knowledge discovery from data (kdd). Indeed, a major… (More)
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2011
2011
Neural networks are non-parametric, robust, and exhibit good learning and generalization capabilities in data-rich environments… (More)
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2010
2010
Give us 5 minutes and we will show you the best book to read today. This is it, the relational data mining that will be your best… (More)
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2005
2005
Numeric data has traditionally received little attention in the field of Multi-Relational Data Mining (MRDM). It is often assumed… (More)
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2005
2005
This paper presents an extension of GUHA method for relational data mining of association rules. Because ILP methods are well… (More)
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Highly Cited
2003
Highly Cited
2003
Data mining algorithms look for patterns in data. While most existing data mining approaches look for patterns in a single data… (More)
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2003
2003
Mining data of complex data types (e.g. spatial, multimedial, etc.) is deemed an important research frontier in data mining… (More)
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2003
2003
This paper presents the application of a method for mining data in a multi-relational database that contains some information… (More)
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Review
2001
Review
2001
Data mining, the central activity in the process of knowledge discovery in databas es, is concerned with finding patterns in data… (More)
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Highly Cited
1997
Highly Cited
1997
Spatial data mining is to mine high-level spatial information and knowledge from large spatial databases. A spatial data mining… (More)
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