A comment on 'correlation as a heuristic for accurate and comprehensible ant colony optimization-based classifiers'

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Abstract

Baig et al. [1] proposed a new classification rule mining algorithm in IEEE TEC. The technique introduces a correlation-based function for the ant colony optimization (ACO) component. The authors compare variants of the technique with several existing ACO-based algorithms and the state-of-the art RIPPER [2] algorithm. The AntMiner+ algorithm, proposed by Martens et al. [3] (2007) in IEEE TEC, was also included in the comparison. However, the reported performance is far below what is expected and is more akin to making random predictions. Upon closer investigation and personal communication with the authors, we have identified several issues with their experiments.

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Minnaert, B., & Martens, D. (2014, October 1). A comment on “correlation as a heuristic for accurate and comprehensible ant colony optimization-based classifiers.” IEEE Transactions on Evolutionary Computation. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/TEVC.2014.2358376

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