• 757 Citations
  • 15 h-Index
20032020

Research output per year

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Personal profile

Personal profile

Zahid's main research interests are in data mining, data analysis, data pre-processing, knowledge discovery, making sense of data and future prediction. His more specific research interests include classification and clustering algorithms, missing value analysis, outliers detection, data cleaning and preprocessing, privacy preserving data mining, privacy issues related to Data Mining on social network users, and applications of data mining in real life.

Zahid served as the Conference Chair along with another colleague for the 16th AusDM 2018 at CSU, Bathurst, as a Program Chair for AusDM 2016 and AusDM 2015. He is a steering committee member of the Australasian Data Mining Conference. Since January 2019 he is serving as the Director of the Data Science Research Unit (DSRU) at CSU. He served as the founder leader of the Data Mining Research Area (DaMRA) which is one of the 5 research groups within DSRU from 2016 to March 2019. He also served as the Deputy Leader of the Health Services Research Area within Faculty of Business Justice and Behavioural Sciences from 2014 to February 2019.

Zaihd was a co-recepient of a number of industry funded projects. One of these projects received an Innovation Award in 2017 from the NSW Agency for Clinical Innovation. Another project was evaluated by the funding body through Deloitte for an independent evaluation and received an "outstanding" feedback from the assessment team.

For more information please visit his home page at http://csusap.csu.edu.au/~zislam/. Zahid also has a YouTube channel known as "Zahid's Data Mining Channel" which can be accessed here

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Research Output

A Novel Incremental Clustering Technique with Concept Drift Detection

Woodbright, M., Rahman, M. A. & Islam, M. Z., 30 Mar 2020, arXiv.org.

Research output: Textual Creative WorksCreative Works Original - Textual

  • A novel approach for noisy signal classification through the use of multiple wavelets and ensembles of classifiers

    Grant, P. & Islam, Z., Nov 2019, 15th International Conference on Advanced Data Mining and Applications (ADMA 2019). Goebel, R., Tanaka, Y. & Wahlster, W. (eds.). Switzerland: Springer, Vol. 11888. p. 195-203 8 p.

    Research output: Book chapter/Published conference paperConference paper

  • Clustering noisy temporal data

    Grant, P. & Islam, Z., Nov 2019, 15th International Conference on Advanced Data Mining and Applications (ADMA 2019). Springer, p. 185-194 9 p. (Lecture Notes in Computer Science; vol. 11888).

    Research output: Book chapter/Published conference paperConference paper

  • DataLearner: A data mining and knowledge discovery tool for android smartphones and tablets

    Yates, D., Islam, Z. & Gao, J., 15 Nov 2019, 15th International Conference on Advanced Data Mining and Applications. Springer, p. 828-838 15 p.

    Research output: Book chapter/Published conference paperConference paper

    Data Mining: 16th Australasian Conference, AusDM 2018: Revised Selected Papers

    Islam, R. (ed.), Koh, Y. S. (ed.), Zhao, Y. (ed.), Warwick, G. (ed.), Starling, D. (ed.), Li, C-T. (ed.) & Islam, Z. (ed.), Feb 2019, Springer. 395 p.

    Research output: Book/ReportEdited book

  • Press / Media

    Conference in Bathurst will push the frontiers of data mining

    Md Zahidul Islam & Chang-Tsun Li

    27/11/18

    1 Media contribution

    Press/Media: Press / Media

    Patient care benefits from CSU computing prowess

    Md Zahidul Islam & Mark Morrison

    15/09/17

    1 Media contribution

    Press/Media: Press / Media