Collaborative SVM classification in scale-free peer-to-peer networks
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- 作者：Umer Khan ; a ; khan@ismll.uni-hildesheim.de" class="auth_mail" title="E-mail the corresponding author ; khan@ismll.de" class="auth_mail" title="E-mail the corresponding author ; Lars Schmidt-Thiemea ; schmidt-thieme@ismll.uni-hildesheim.de" class="auth_mail" title="E-mail the corresponding author ; Alexandros Nanopoulos1 ; b ; alexandros.nanopoulos@ku.de" class="auth_mail" title="E-mail the corresponding author
- 关键词：Distributed ; Classification ; SVM ; P2P ; Skew
- 刊名：Expert Systems with Applications
- 出版年：2017
- 出版时间：1 March 2017
- 年：2017
- 卷：69
- 期：Complete
- 页码：74-86
- 全文大小：2092 K
文摘
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Collaborative SVM method in decentralized, hierarchical & skewed P2P networks.
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Performs transitive propagation of models beyond the direct neighbors.
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Considers vast majority of scarcely connected peers.
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Analysis w.r.t music genre classification, centralized methods and data replication.
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Improves the overall accuracy substantially and keeps the communication cost low.