2013 IEEE 13th International Conference on Data Mining 2013
DOI: 10.1109/icdm.2013.71
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A Feature-Enhanced Ranking-Based Classifier for Multimodal Data and Heterogeneous Information Networks

Abstract: Abstract-We propose a heterogeneous information network mining algorithm: feature-enhanced RankClass (F-RankClass). F-RankClass extends RankClass to a unified classification framework that can be applied to binary or multiclass classification of unimodal or multimodal data. We experimented on a multimodal document dataset, 2008/9 Wikipedia Selection for Schools. For unimodal classification, F-RankClass is compared to support vector machines (SVMs). F-RankClass provides improvements up to 27.3% on the Wikipedia… Show more

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Cited by 9 publications
(1 citation statement)
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“…Métodos de aprendizado de máquina ou de outrasáreas podem estender os tradicionais métodos de classificação para considerar as correlações entre os objetos. Alguns pesquisadores estão trabalhando nessa linha [169,170,171].…”
Section: Considerações Finaisunclassified
“…Métodos de aprendizado de máquina ou de outrasáreas podem estender os tradicionais métodos de classificação para considerar as correlações entre os objetos. Alguns pesquisadores estão trabalhando nessa linha [169,170,171].…”
Section: Considerações Finaisunclassified