Title: Knowledge Discovery and Future Prediction through Decision Trees and Forests

主讲嘉宾：Zahid Islam   Phd

时间：2018年11月20日  10：00 am

地点：计软学院623会议室

Abstract:

With the massive improvement of information technology including data collection techniques, networking, data storage, data pre-processing, and data analysis and visualisation huge amount of data is being collected every day. It was reported that about 90% of the world’s current data were collected in the last two years. Collected data are being analysed for knowledge discovery, making sense of data, decision making and future prediction. In this talk we will briefly introduce our research interest on a wide range of data mining techniques including data pre-processing, missing value imputation, corrupt data detection, clustering, decision trees and decision forests, privacy preserving data mining and publishing, and some real life applications of data mining. We will focus on decision tree and forest algorithms and discuss some future research directions on these topics.  

Short Bio:

Zahid Islam is an Associate Professor at the School of Computing and Mathematics in Charles Sturt University. He is a Deputy Director of the Data Science Research Unit (DSRU), Leader of the Data Mining Research Area (DaMRA) and the Deputy Leader of the Health Services Research Area (HSRA) at Charles Sturt University. He has successfully supervised five PhD and five honours students to completion as the principal supervisor and two PhD students to completion as a co-supervisor. He is currently the principal supervisor of six PhD students and one honours student. He was a co-recipient of a number of industry grants on various areas including health and social services. He has co-authored 90 peer reviewed publications.  He has served as a Conference Chair in AusDM 2018, and a PC Chair in AusDM 2015 and AusDM 2016. He has examined nine PhD thesis and reviewed many conference and journal papers.