A Tutorial on Hierarchical Classification with Applications in Bioinformatics

A Tutorial on Hierarchical Classification with Applications in Bioinformatics

Alex Freitas (University of Kent, UK) and André Carvalho (University of São Paulo, Brazil)
Copyright: © 2007 |Pages: 34
DOI: 10.4018/978-1-59904-271-8.ch007
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Abstract

In machine learning and data mining, most of the works in classification problems deal with flat classification, where each instance is classified in one of a set of possible classes and there is no hierarchical relationship between the classes. There are, however, more complex classification problems where the classes to be predicted are hierarchically related. This chapter presents a tutorial on the hierarchical classification techniques found in the literature. We also discuss how hierarchical classification techniques have been applied to the area of bioinformatics (particularly the prediction of protein function), where hierarchical classification problems are often found.

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