Wenjia Wang

Search results

• 2018

  Dealing with Missing Data and Uncertainty in the Context of Data Mining

  Aleryani, A., Wang, W. & De La Iglesia, B., 2018, Hybrid Artificial Intelligent Systems: 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings. Springer, p. 289-301 13 p. (Hybrid Artificial Intelligent Systems; vol. 10870).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  Open Access

  File
  11 Citations (Scopus)

  127 Downloads (Pure)
• 2012

  Non-linear dimensionality reduction for privacy-preserving data classification

  Alotaibi, K., Rayward-Smith, V. J., Wang, W. & De La Iglesia, B., 2012, Proceedings - 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust and 2012 ASE/IEEE International Conference on Social Computing, SocialCom/PASSAT 2012. p. 694-701 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  15 Citations (Scopus)
• 2011

  Adaptive K-Means for Clustering Air Mass Trajectories

  Mace, A., Sommariva, R., Fleming, Z. & Wang, W., 2011, Intelligent Data Engineering and Automated Learning - IDEAL 2011. Yin, H., Wang, W. & Rayward-Smith, V. (eds.). Springer, p. 1-8 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  9 Citations (Scopus)

• Novel Data Mining Approaches for Detecting Quantitative Trait Loci of Bone Mineral Density in Genome-Wide Linkage Analysis

  Li, Q., Macgregor, A. J. & Wang, W., 2011, Intelligent Data Engineering and Automated Learning - IDEAL 2011. Yin, H., Wang, W. & Rayward-Smith, V. (eds.). Springer, p. 498-510 13 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
• 2007

  Diversity and Accuracy of Data Mining Ensemble

  Wang, W., 2007, Life Science Data Mining. Wong, S. & Li, C-S. (eds.). World Science Publishers, Vol. 2. p. 47-72 26 p. (Science, Engineering, and Biology Informatics).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Ensemble Classification System Implementation for Biomedical Data

  Bian, S. & Wang, W., 2007, Life Science Data Mining. Wong, S. & Li, C-S. (eds.). World Science Publishers, Vol. 2. p. 239-256 18 p. (Science, Engineering, and Biology Informatics).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  5 Citations (Scopus)
• 2002

  Quantifying Relevance of Input Features

  Wang, W., 2002, Intelligent Data Engineering and Automated Learning — IDEAL 2002 Third International Conference Manchester, UK, August 12–14, 2002 Proceedings. Yin, H., Allinson, N., Freeman, R., Keane, J. & Hubbard, S. (eds.). Springer Berlin / Heidelberg, Vol. 2412. p. 685-695 11 p. (Lecture Notes in Computer Science).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  2 Citations (Scopus)
• 2001

  Efficient and Effective Feature Selection in the Presence of Feature Interaction and Noise

  Partridge, D., Wang, W. & Jones, P., 2001, Advances in Pattern Recognition — ICAPR 2001. Singh, S., Murshed, N. & Kropatsch, W. (eds.). Springer Berlin / Heidelberg, Vol. 2013. p. 196-201 6 p. (Lecture Notes in Computer Science).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  1 Citation (Scopus)
• 2000

  Diversity between Neural Networks and Decision Trees for Building Multiple Classifier Systems

  Wang, W., Jones, P. & Partridge, D., 2000, Multiple Classifier Systems. Springer Berlin / Heidelberg, Vol. 1857. p. 240-249 10 p. (Lecture Notes in Computer Science).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  38 Citations (Scopus)