Supervised sampling for networked data
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- 作者：Meng Fanga ; b ; Meng.Fang@student.uts.edu.au" class="auth_mail" title="E-mail the corresponding author ; Meng.Fang@csiro.au" class="auth_mail" title="E-mail the corresponding author ; Jie Yinb ; Jie.Yin@csiro.au" class="auth_mail" title="E-mail the corresponding author ; Xingquan Zhuc ; xzhu3@fau.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Supervised sampling ; Random walks ; Information network
- 刊名：Signal Processing
- 出版年：2016
- 出版时间：July 2016
- 年：2016
- 卷：124
- 期：Complete
- 页码：93-102
- 全文大小：703 K
文摘
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The paper provides a framework for obtaining biased node samples by crawling the network under supervision.
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The paper introduces a new supervised sampling problem on networked data.
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The proposed method is to sample a sub network under a specific goal of, acquiring positive nodes.