Bioinformatics BI_D0007

Title :A Tutorial on Hierarchical Classification with Applications in Bioinformatics
Author : Alex A. Freitas André C. P. L. F. de Carvalho
Year : 2007
Place of publish :
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.