Open Access
MATEC Web of Conferences
Volume 56, 2016
2016 8th International Conference on Computer and Automation Engineering (ICCAE 2016)
Article Number 01008
Number of page(s) 5
Section Computer and Information technologies
Published online 26 April 2016
  1. M. Kurakar, S. Izudheen. IJCTT 9, Link Prediction in Protein-Protein Networks: Survey, 164–168 (2014) [CrossRef] [Google Scholar]
  2. Y. Yang, H. Guo, T. Tian, H. Li. TST 20, Link Prediction in Brain. Network Based on Hierarchical. Random. Graph. Model, 306–315 (2015) [Google Scholar]
  3. J. Tang, S. Chang, C. Aggarwal, H. Liu. WSDM, Negative. Link Prediction in Social Media (2015) [Google Scholar]
  4. Z. Huang, D.K.J. Lin, INFORMS JOC 21, The Time-Series Link Prediction Problem with Application in Communication Surveillance, 286–303 (2009) [CrossRef] [Google Scholar]
  5. P.R. Soares, R.B. Prudencio, IJCNN, Time Series Based Link Prediction(2012) [Google Scholar]
  6. J.B. Lee, H. Adorna, ASONAM, Link Prediction in a Modified Heterogeneous Bibliographic Network (2015) [Google Scholar]
  7. M. Pujari, R. Kanawati. NHM 10, Link Prediction in Multiplex. Networks (2015) [Google Scholar]
  8. A. Ozacan, S.G. Oguducu. ICIS, Multivariate Temporal Link Prediction in Evolving Social Networks (2015) [Google Scholar]
  9. P.D. Gilbert, IJF 14, Combining VAR Estimation and State Space Mode Reduction for Simple Good Predictions. 229–250 (1995) [Google Scholar]
  10. R. Akbani, S. Kwek, N. Japkowicz. ECML 3201, Applying Support Vector Machine to Imbalanced Datasets, 39–50 (2004) [Google Scholar]
  11. M.M. Rahman, D.N. Davis. WCR 3, Cluster Based Under-Sampling for Imbalanced Cardiovascular Data (2013) [Google Scholar]
  12. S.J. Yen, Y.S. Lee. ESWA 36, Cluster-Based Undersampling approaches for imbalanced data distributions, 5718–5727 (2009) [Google Scholar]

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