2007
DOI: 10.1109/tevc.2006.890229
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Classification With Ant Colony Optimization

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Cited by 385 publications
(206 citation statements)
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“…David Martens et al [41], proposed a Max-Min Ant System based algorithm known as Ant-Miner+. The new classification rule mining approach is based on the bio inspired Ant-Miner.…”
Section: Antminer+mentioning
confidence: 99%
See 1 more Smart Citation
“…David Martens et al [41], proposed a Max-Min Ant System based algorithm known as Ant-Miner+. The new classification rule mining approach is based on the bio inspired Ant-Miner.…”
Section: Antminer+mentioning
confidence: 99%
“…In Ant-Miner3 new pheromone update mechanism is proposed which resulted promising results. The Ant-Miner+ [41], variant of Ant-Miner introduced new relations for initial pheromone value, rule quality evaluation and pheromone value update. New pheromone value is boosted directly to the quality of the rule.…”
Section: Aco-minermentioning
confidence: 99%
“…The Confidence + Coverage was used in AntMiner+ algorithm [9]. The confidence measures the fraction of examples covered by the rule correctly, and the coverage measures the importance of the rule by calculating the fraction of correctly covered examples against all remaining examples.…”
Section: S the Total Number Of Examples (Tp + Fp + Tn + Fn)mentioning
confidence: 99%
“…Another popular alternative is to use classification trees, with its origins both in statistics ( Breiman 1984) and machine learning (Quinlan 1993), though of course this ends up not with a scorecard but with groups of customers described by combinations of their characteristics where each group is classified as either Good or Bad . However any classification approach can be applied to the credit scoring problem and so in the past twenty years researchers have tried neural nets ( Desai et al 1997, Malhotra andMalhotra 2002), support vector machines ( Huang et al 2007, van Gestel et al 2003, Bellotti and Crook 2009a , genetic algorithms ( Desai et al 1997,Ong et al 2005, nearest neighbour methods (Chatterjee and Barcun (1970), Henley and Hand (1996)) and ant colony optimization ( Martens et al 2007). So what methodology gives a scorecard with the best discrimination in credit scoring?…”
Section: Challenge 1: Finding the "Silver Bullet" Or Is There A Bettementioning
confidence: 99%