A survey of hierarchical classification across different application domains

A survey of hierarchical classification across different application domains
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DOI:
10.1007/s10618-010-0175-9
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发表时间:
2011-01-01
影响因子:
4.8
通讯作者:
Freitas, Alex A.
Freitas, Alex A.
中科院分区:
计算机科学3区
文献类型:
--
作者:
Silla, Carlos N., Jr.;Freitas, Alex A.

文献摘要

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在本次调查中,我们讨论层次分类的任务。关于这一领域的文献分散在非常不同的应用领域,因此一个领域的研究通常不了解其他领域开发的方法。我们定义什么是层次分类的任务,并讨论为什么一些相关任务不应被视为层次分类。我们还提出了关于一些现有的层次分类方法的新视角,并基于该视角,我们提出了一个新的统一框架来对现有方法进行分类。我们还对文献中报道的现有方法进行了实证比较,并对这些方法进行了高度抽象的概念比较,讨论了它们的优点和缺点。
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.