A survey of hierarchical classification across different application domains

被引:704
作者
Silla, Carlos N., Jr. [1 ]
Freitas, Alex A. [1 ]
机构
[1] Univ Kent, Sch Comp, Canterbury, Kent, England
关键词
Hierarchical classification; Tree-structured class hierarchies; DAG-structured class hierarchies; MULTILABEL CLASSIFICATION; FEATURE-SELECTION; DECISION TREES; GENE ONTOLOGY; CLASSIFIERS; PERFORMANCE; ENSEMBLES; PROTEINS; SETS;
D O I
10.1007/s10618-010-0175-9
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this survey we discuss the task of hierarchical classification. The literature about this field is scattered across very different application domains and for that reason research in one domain is often done unaware of methods developed in other domains. We define what is the task of hierarchical classification and discuss why some related tasks should not be considered hierarchical classification. We also present a new perspective about some existing hierarchical classification approaches, and based on that perspective we propose a new unifying framework to classify the existing approaches. We also present a review of empirical comparisons of the existing methods reported in the literature as well as a conceptual comparison of those methods at a high level of abstraction, discussing their advantages and disadvantages.
引用
收藏
页码:31 / 72
页数:42
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