2013 MultiLabelRelationalNeighborCla

• (Wang & Sukthankar, 2013) ⇒ Xi Wang, and Gita Sukthankar. (2013). “Multi-label Relational Neighbor Classification Using Social Context Features.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2487610

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Cited By

• http://scholar.google.com/scholar?q=%222013%22+Multi-label+Relational+Neighbor+Classification+Using+Social+Context+Features
• http://dl.acm.org/citation.cfm?id=2487575.2487610&preflayout=flat#citedby

Quotes

Author Keywords

• Collective classification; data mining; relational learning; social dimensions; sociology

Abstract

Networked data, extracted from social media, web pages, and bibliographic databases, can contain entities of multiple classes, interconnected through different types of links. In this paper, we focus on the problem of performing multi-label classification on networked data, where the instances in the network can be assigned multiple labels. In contrast to traditional content-only classification methods, relational learning succeeds in improving classification performance by leveraging the correlation of the labels between linked instances. However, instances in a network can be linked for various causal reasons, hence treating all links in a homogeneous way can limit the performance of relational classifiers.

In this paper, we propose a multi-label iterative relational neighbor classifier that employs social context features (SCRN). Our classifier incorporates a class propagation probability distribution obtained from instances' social features, which are in turn extracted from the network topology. This class-propagation probability captures the node's intrinsic likelihood of belonging to each class, and serves as a prior weight for each class when aggregating the neighbors' class labels in the collective inference procedure. Experiments on several real-world datasets demonstrate that our proposed classifier boosts classification performance over common benchmarks on networked multi-label data.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2013 MultiLabelRelationalNeighborCla	Xi Wang Gita Sukthankar			Multi-label Relational Neighbor Classification Using Social Context Features				10.1145/2487575.2487610		2013