基于医疗数据集的can - miner2参数研究

2010 19th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises Pub Date : 2010-06-28 DOI:10.1109/WETICE.2010.52

Ioannis Michelakos, E. Papageorgiou, M. Vassilakopoulos

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引用次数: 4

摘要

本文研究了cAnt-Miner算法的自定义参数，该算法扩展了cAnt-Miner算法对连续属性的处理方法。在两个公共医疗数据集上进行实验，为不同的分类问题找到合适的参数组合。实验突出了各个参数及其组合对can - miner2算法在精度、简单性和计算成本方面的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Study of cAnt-Miner2 Parameters Using Medical Data Sets

This paper presents a study of the user-defined parameters of the cAnt-Miner2 algorithm which extended the approach of coping with continuous attributes that was introduced by the cAnt-Miner algorithm. Experiments on two public medical data sets were carried out, in order to find appropriate parameter combinations for different classification problems. The experiments highlight the influence of each parameter and their combinations on the cAnt-Miner2 algorithm, in terms of accuracy, simplicity and computational cost.

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2010 19th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises

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