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TSD based framework for mining the induction rules

机译:基于TSD的归纳规则挖掘框架

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摘要

Sex determination mainly encompasses two aspects: genotypic sex determination (CSD) and temperature-dependent sex determination (TSD). Genotypic sex determination performs its task by observing the presence of sex chromosomes. In many reptiles sex determination is greatly influenced by the environmental conditions such as temperature of the nest, weight and size of eggs. A nature inspired algorithm which mimics the mechanism of temperature dependent sex determination (TSD) has been introduced for mining the classification rules from datasets. A comparison of proposed TSD algorithm with other well known rule induction algorithms like PRISM, C4.S, 1-R. CN2, and NN has been evaluated on some bench mark datasets.
机译:性别确定主要包括两个方面:基因型性别确定(CSD)和温度依赖性性别确定(TSD)。基因型性别确定通过观察性染色体的存在来执行其任务。在许多爬行动物中,性别决定很大程度上受环境条件的影响,例如巢的温度,卵的重量和大小。为了模拟数据集的分类规则,引入了一种模仿自然的性别决定机制(TSD)的自然启发算法。拟议的TSD算法与其他众所周知的规则归纳算法(如PRISM,C4.S,1-R)的比较。 CN2和NN已在某些基准数据集上进行了评估。

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