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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… Expand
Wikipedia

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… Expand
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2012
2012
In this paper, we present an evolutionary approach for extracting a model of flood prediction from hydrological data observed… Expand
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2012
2012
This paper presents two kinds of evolutionary data mining (EvoDM) algorithms, termed GA-KM and MPSO-KM, to cluster the dataset of… Expand
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2011
2011
Co-clustering is the problem of deriving sub-matrices from the larger data matrix by simultaneously clustering rows and columns… Expand
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2010
2010
  • T. Weise, R. Chiong
  • 9th IEEE International Conference on Cognitive…
  • 2010
  • Corpus ID: 2839096
Data mining is an important process, with applications found in many business, science and industrial problems. While a wide… Expand
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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… Expand
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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… Expand
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2003
2003
An approach is being explored that involves embedding a fuzzy logic based resource manager in an electronic game environment… Expand
2002
2002
A fuzzy logic based expert system has been developed that automatically allocates resources in real-time over many dissimilar… Expand
2001
2001
This paper describes RAGA, a data mining system that combines evolutionary and symbolic machine learning methods, and discusses… Expand
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