A Feature-Enhanced Ranking-Based Classifier for Multimodal Data and Heterogeneous Information Networks

被引:5
|
作者
Chen, Scott Deeann [1 ]
Chen, Ying-Yu [1 ]
Han, Jiawei [2 ]
Moulin, Pierre [1 ]
机构
[1] Univ Illinois, Dept Elect & Comp Engn, Urbana, IL 61801 USA
[2] Univ Illinois, Dept Comp Sci, Urbana, IL 61801 USA
基金
美国国家科学基金会;
关键词
classification; multimodal; heterogeneous information network; ranking;
D O I
10.1109/ICDM.2013.71
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 dataset. For multimodal document classification, F-RankClass shows improvements up to 19.7% in accuracy when compared to SVM-based meta-classifiers. We also study 1) how the structure of the network and 2) how the choice of parameters affect the classification results.
引用
收藏
页码:997 / 1002
页数:6
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