Application of Feature Subset Selection Methods on Classifiers Comprehensibility for Bio-Medical Datasets

机译：特征子集选择方法对生物医疗数据集分类机的应用

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Feature subset selection is an important data reduction technique. Effects of feature selection on classifier's accuracy are extensively studied yet comprehensibility of the resultant model is given less attention. We show that a weak feature selection method may significantly increase the complexity of a classification model. We also proposed an extendable feature selection methodology based on our preliminary results. Insights from the study can be used for developing clinical decision support systems.

机译：特征子集选择是一个重要的数据减少技术。特征选择对分类器的准确性的影响是广泛研究的，但可致力于所关注的结果的可理解性。我们表明，弱特征选择方法可以显着提高分类模型的复杂性。我们还提出了一种基于我们初步结果的可扩展特征选择方法。该研究的见解可用于开发临床决策支持系统。

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《International Conference on Ubiquitous Computing and Ambient Intelligence》|2016年|xxvi 553 pages :|共6页
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Syed Imran Ali; Byeong Ho Kang; Sungyoung Lee;
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中图分类 TP18-532;
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Feature subset selection; Model comprehensibility; Data classification; Data mining; Clinical decision support system;

机译：特征子集选择;模型可理解性;数据分类;数据挖掘;临床决策支持系统;

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专利

1. Application of feature selection methods for automated clustering analysis: a review on synthetic datasets [J] . Aliyu Usman Ahmad, Andrew Starkey Neural computing & applications . 2018,第7期

机译：自动聚类分析特征选择方法的应用 - 合成数据集综述
2. New Feature Selection Model Based Ensemble Rule Classifiers Method for Dataset Classification [J] . Mohammad Aizat bin Basir, Faudziah binti Ahmad International Journal of Artificial Intelligence & Applications (IJAIA) . 2017,第2期

机译：基于新特征选择模型的集成规则分类器方法
3. Blind signal-type classification using a novel robust feature subset selection method and neural network classifier [J] . Ataollah Ebrahimzadeh Shermeh, Hamed Azimi Annals of Telecommunications . 2010,第s9a10期

机译：使用新型鲁棒特征子集选择方法和神经网络分类器的盲信号类型分类
4. Application of Feature Subset Selection Methods on Classifiers Comprehensibility for Bio-Medical Datasets [C] . Syed Imran Ali, Byeong Ho Kang, Sungyoung Lee International conference on ubiquitous computing and ambient intelligence . 2016

机译：特征子集选择方法在生物医学数据分类器可理解性中的应用
5. Integrated feature subset selection/extraction with applications in bioinformatics. [D] . Xu, Xian. 2006

机译：集成的功能子集选择/提取以及生物信息学中的应用。
6. Application of feature selection methods for automated clustering analysis: a review on synthetic datasets [O] . Aliyu Usman Ahmad, Andrew Starkey -1

机译：特征选择方法在自动聚类分析中的应用：综述综合数据集
7. Two methods for constructing a gene ontology-based feature network for a Bayesian network classifier and applications to datasets of aging-related genes. [O] . Wan Cen, Freitas Alex A. 2015

机译：为贝叶斯网络分类器构建基于基因本体的特征网络的两种方法，以及对衰老相关基因的数据集的应用。

Application of Feature Subset Selection Methods on Classifiers Comprehensibility for Bio-Medical Datasets

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