• 468 Citations
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Personal profile

Personal profile

Currently Involved in research at Charles Sturt University.

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 2003 2019

Data Mining: 16th Australasian Conference, AusDM 2018 Bathurst NSW, Australia, November 28 - 30, 2018, Revised Selected Papers

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

Research output: Book/ReportEdited book

Data mining
Industry
Students
Starters
Miners

Data Mining and Knowledge Discovery from Physiological Sensors

Costadopoulos, N., Islam, Z. & Tien, D., 26 Mar 2019, (Accepted/In press) In Proc. of the 12th ACM International Conference on Pervasive Technologies Related to Assistive Environments (PETRA 2019), June5-7, 2019. Rhodes, Greece

Research output: Book chapter/Published conference paperConference paper

Decision trees
Data mining
Plethysmography
Sensors
Skin
Open Access
File
Data mining
NASA
Defects
Conceptual design
Costs

Decision Tree Classification with Differential Privacy: A Survey

Fletcher, S. & Islam, Z., 21 May 2019, (Accepted/In press) In : ACM Computing Surveys.

Research output: Contribution to journalArticle

Decision trees
Decision tree
Privacy
Data mining
Data Mining

Discovering Emotional Logic Rules from Physiological Data of Individuals

Costadopoulos, N., Islam, Z. & Tien, D., 21 May 2019, (Accepted/In press) In Proc. of the 18th International Conference on Machine Learning and Cybernetics (ICMLC), 2019. Kobe, Japan

Research output: Book chapter/Published conference paperConference paper

Skin
Plethysmography
Data mining
Fusion reactions
Temperature

Press / Media

Conference in Bathurst will push the frontiers of data mining

Zahid Islam & Chang-Tsun Li

27/11/18

1 media contribution

Press/Media: Press / Media

Patient care benefits from CSU computing prowess

Zahid Islam & Mark Morrison

15/09/17

1 media contribution

Press/Media: Press / Media