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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… Expand
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Papers overview

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Highly Cited
2014
Highly Cited
2014
This study examines the use of social network information for customer churn prediction. An alternative modeling approach using… Expand
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Highly Cited
2013
Highly Cited
2013
Network sampling is integral to the analysis of social, information, and biological networks. Since many real-world networks are… Expand
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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… Expand
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Highly Cited
2009
Highly Cited
2009
In order to address privacy concerns, many social media websites allow users to hide their personal profiles from the public. In… Expand
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2008
2008
Resampling (a.k.a. bootstrapping) is a computationallyintensive statistical technique for estimating the sampling distribution of… Expand
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2008
2008
  • D. Malerba
  • Int. J. Data Min. Model. Manag.
  • 2008
  • Corpus ID: 45241336
Remote sensing and mobile devices nowadays collect a huge amount of spatial data, which have to be analysed in order to discover… Expand
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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… Expand
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Highly Cited
2005
Highly Cited
2005
An important aspect of data mining algorithms and systems is that they should scale well to large databases. A consequence of… Expand
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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… Expand
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Highly Cited
2003
Highly Cited
2003
Biological databases contain a wide variety of data types, often with rich relational structure. Consequently multi-relational… Expand
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