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Evolutionary data mining

Evolutionary data mining, or genetic data mining is an umbrella term for any data mining using evolutionary algorithms. While it can be used for… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
The existence of code bad smell has a severe impact on the software quality. Numerous researches show that ignoring code bad… 
2012
2012
This paper presents two kinds of evolutionary data mining (EvoDM) algorithms, termed GA-KM and MPSO-KM, to cluster the dataset of… 
2012
2012
In this paper, we present an evolutionary approach for extracting a model of flood prediction from hydrological data observed… 
2011
2011
Co-clustering is the problem of deriving sub-matrices from the larger data matrix by simultaneously clustering rows and columns… 
2006
2006
paper, we address the problem of graph feature extraction and selection for link analysis in weblogs and similar social networks… 
2003
2003
An approach is being explored that involves embedding a fuzzy logic based resource manager in an electronic game environment… 
2003
2003
In addition to its ever-expanding size and lack of structure, the World Wide Web has not been responsive to user preferences and… 
Review
2001
Review
2001
This paper presents data mining (DM) solutions based on evolutionary methods. The framework emphasizes the suitability of genetic…