In this talk we briefly discuss some interesting data-mining-tasks including data pre-processing, discretization, missing value imputation, noise detection, decision tree and forest classification, clustering, privacy preserving data mining, and on line privacy threats from data mining. We then discuss some practical applications of data mining in solving regional problems such as irrigation water demand prediction.
Dr Md Zahidul Islam is a Senior Lecturer in Computing, at the School of Computing and Mathematics, Faculty of Business, Justice and Behavioural Sciences, Charles Sturt University. He is also the Deputy Leader of the Health Services Research Area of the Faculty of Business, Justice and Behavioural Sciences, Charles Sturt University, Australia (Health Services Strategic Research Area). His main research interests are in Data Mining, Classification and Clustering algorithms, Missing value analysis, Outliers detection, Data Cleaning and Pre-processing, Privacy Preserving Data Mining, Privacy Issues due to Data Mining on Social Network Users, and Application of Data Mining.
Zahid has earned his PhD in Computer Science (on Privacy Preserving Data Mining) from the University of Newcastle, Australia, Graduate Diploma in Information Science from The University of New South Wales, Australia and Bachelors degree in Engineering from Rajshahi University of Engineering and Technology, Bangladesh.
He is a co-recipient of at least four (4) three (3) industry grants, He has published 56 peer reviewed journal articles, book chapters and conference papers. He was the principal supervisor of two (2) PhD students who have graduated, and two (2) other PhD students who submitted their thesis under his co-supervision. Currently he is the principal supervisor of six (6) PhD students.
He has received a number of awards including Research Excellence Award in the School of Computing and Mathematics, Faculty of Business Research Supervision Excellence Award and a few best paper awards with his colleagues.
He was a Program Co-Chair of the Australasian Data Mining Conference 2015 (AusDM 2015) and is a Program Co-Chair of AusDM 2016. He regularly reviews conference and journal papers. For more information please visit http://csusap.csu.edu.au/~zislam/