Graham Williams

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Prof Graham Williams

Chief Scientist, Software Innovation Institute

 https://orcid.org/0000-0001-7041-4127
Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
Calculated based on number of publications stored in Pure and citations from Scopus
20012024

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  • 2016

    Stratified over-sampling bagging method for random forests on imbalanced data

    Zhao, H., Chen, X., Nguyen, T., Huang, J. Z., Williams, G. & Chen, H., 2016, Intelligence and Security Informatics - 11th Pacific Asia Workshop, PAISI 2016, Proceedings. Chau, M., Wang, G. A. & Chen, H. (eds.). Springer Verlag, p. 63-72 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9650).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    10 Citations (Scopus)
  • 2014

    Ensemble clustering of high dimensional data with fastmap projection

    Khan, I., Huang, J. Z., Tung, N. T. & Williams, G., 2014, Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2014 International Workshops: DANTH, BDM, MobiSocial, BigEC, CloudSD, MSMV-MBI, SDA, DMDA-Health, ALSIP, SocNet, DMBIH, BigPMA, Revised Selected Papers. Peng, W-C., Wang, H., Zhou, Z-H., Ho, T. B., Tseng, V. S., Chen, A. L. P. & Bailey, J. (eds.). Springer Verlag, p. 483-493 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8643).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    11 Citations (Scopus)
  • 2012

    Analysis of cluster migrations using self-organizing maps

    Denny, Christen, P. & Williams, G. J., 2012, New Frontiers in Applied Data Mining - PAKDD 2011 International Workshops, Revised Selected Papers. p. 171-182 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7104 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    2 Citations (Scopus)

  • Hybrid random forests: Advantages of mixed trees in classifying text data

    Xu, B., Huang, J. Z., Williams, G., Li, M. J. & Ye, Y., 2012, Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Proceedings. PART 1 ed. p. 147-158 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7301 LNAI, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    10 Citations (Scopus)
  • 2008

    Exploratory hot spot profile analysis using interactive visual drill-down self-organizing maps

    Denny, Williams, G. J. & Christen, P., 2008, Advances in Knowledge Discovery and Data Mining - 12th Pacific-Asia Conference, PAKDD 2008, Proceedings. p. 536-543 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5012 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    4 Citations (Scopus)

  • ReDSOM: Relative density visualization of temporal changes in cluster structures using self-organizing maps

    Denny, Williams, G. J. & Christen, P., 2008, Proceedings - 8th IEEE International Conference on Data Mining, ICDM 2008. p. 173-182 10 p. 4781112. (Proceedings - IEEE International Conference on Data Mining, ICDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    12 Citations (Scopus)
  • 2007

    Exploratory multilevel hot spot analysis: Australian taxation office case study

    Denny, Williams, G. J. & Christen, P., 1 Jan 2007, Data Mining and Analytics 2007 - 6th Australasian Data Mining Conference, AusDM 2007, Proceedings. Australian Computer Society, p. 77-84 8 p. (Conferences in Research and Practice in Information Technology Series; vol. 70).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    12 Citations (Scopus)
  • 2006

    Identifying risk groups associated with colorectal cancer

    Chen, J., He, H., Jin, H., McAullay, D., Williams, G. & Kelman, C., 2006, Data Mining: Theory, Methodology, Techniques, and Applications. Springer Verlag, p. 260-272 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3755 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    4 Citations (Scopus)
  • 2005

    A delivery framework for health data mining and analytics

    McAullay, D., Williams, G., Chen, J., Jin, H., He, H., Sparks, R. & Kelman, C., 2005, Computer Science 2005 - 28th Australasian Computer Science Conference, ACSC 2005. p. 381-390 10 p. (Conferences in Research and Practice in Information Technology Series; vol. 38).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    16 Citations (Scopus)

  • Representing association classification rules mined from health data

    Chen, J., He, H., Li, J., Jin, H., McAullay, D., Williams, G., Sparks, R. & Kelman, C., 2005, Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Springer Verlag, p. 1225-1231 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3683 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    11 Citations (Scopus)
  • 2004

    Conceptual mining of large administrative health data

    Semenova, T., Hegland, M., Graco, W. & Williams, G., 2004, Advances in Knowledge Discovery and Data Mining - 8th Pacific-Asia Conference, PAKDD 2004, Proceedings. Dai, H., Srikant, R. & Zhang, C. (eds.). Springer Verlag, p. 659-669 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3056).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2002

    The integrated delivery of large-scale data mining: The acsys data mining project

    Williams, G., Altas, I., Bakin, S., Christen, P., Hegland, M., Marquez, A., Milne, P., Nagappan, R. & Roberts, S., 2002, Large-Scale Parallel Data Mining. Zaki, M. J. & Ho, C-T. (eds.). Springer Verlag, p. 24-54 31 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1759).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review