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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… 
Highly Cited
2012
Highly Cited
2012
2012
2012
This paper presents two kinds of evolutionary data mining (EvoDM) algorithms, termed GA-KM and MPSO-KM, to cluster the dataset of… 
2011
2011
Co-clustering is the problem of deriving sub-matrices from the larger data matrix by simultaneously clustering rows and columns… 
2008
2008
This paper presents G-REX, a versatile data mining framework based on genetic programming. What differs G-REX from other GP… 
2006
2006
paper, we address the problem of graph feature extraction and selection for link analysis in weblogs and similar social networks… 
Highly Cited
2003
Highly Cited
2003
Classification is an important topic in data mining research. Given a set of data records, each of which belongs to one of a… 
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… 
2001
2001
This paper describes RAGA, a data mining system that combines evolutionary and symbolic machine learning methods, and discusses…