Dr Graham J Williams
(A Short Bio is seperately available.)
Dr Graham Williams is Director of Data Science with Microsoft having responsibility for the Asian and Pacific region. Priot to joing Microsoft in 2016 he was Lead Data Scientist at the Australian Taxation Office where he set up the data mining capability and was involved in creating the Australian Government’s Data Analytics Centre of Excellence. He was previously Principal Computer Scientist for Data Mining with CSIRO Australia and a Senior International Expert and Visiting Professor of the Chinese Academy of Sciences at the Shenzhen Institutes of Advanced Technologies. He is also Adjunct Professor, Data Mining, Fraud Prevention, Security, University of Canberra, and Australian National University.
Graham has been involved in data mining since the 1980s as a researcher and practitioner. He has lead projects with clients including the Health Insurance Commission, the Australian Taxation Office, the Commonwealth Bank, NRMA Insurance Limited, the Commonwealth Department of Health and Ageing, Queensland Health, and the Australian Customs Service. He has developed software and hardware environments for data mining, and implemented web services for the delivery of data mining. His research developments include Multiple (or Ensemble) Decision Tree Induction (1989), HotSpots for identifying target areas in very large data collections (1992), WebDM for the delivery of data mining services over the web using XML (1995), and Rattle (2005), a simple to use Graphical User Interface designed to make data mining accessible for data analysts. His popular text book on Data Mining with Rattle and R was published by Springer in 2011. His OnePageR website is an increasingly popular resource for data miners using R.
Graham is involved in numerous international artificial intelligence and data mining research activities and conferences, as chair of the Australasian Data Mining Conference and Chair of the steering committees of the Pacific Asia Knowledge Discovery and Data Mining conference. He is also a member of the steering committee of the Australian Artificial Intelligence conference. His research interests cover many aspects of artificial intelligence, machine learning, data mining and very large databases. He has edited a number of books and has authored many academic and industry papers.
Graham’s PhD (Australian National University, 1991) introduced the then novel concept of building multiple predictive models (decision trees) and then combining them into a single model to achieve better predictive capabilities. Such ensemble approaches are now widely used and recognised as providing significant gains for modelling.
Graham has worked for a number of research and industrial organisations including: CSIRO Land and Water in Canberra, Australia, developing award wining spatial expert systems in the 1980s; BBJ Computers, Melbourne, Australia, as Research and Development and then Marketing Manager, overseeing the pioneering implementation a data mining tool for integration with a 4GL database environment (1987); Vish Corporation, involved in developing one of the first commercial and longest running Expert Systems in Australia (1989) for credit prediction for Esanda Finance, Melbourne, Australia; and the Australian National University, Canberra, lecturing in Database Systems, Machine Learning, Data Mining, and Software Engineering.
Today, Graham regularly teaches courses in data mining, internationally, and actively participates in research, particularly through his role with the Chinese Academy of Sciences. He was until 2016 the technical leader of the Analytics capability in the Australian Taxation Office, introducing and developing new technologies and processes for the analysis of big data in large organisations using a suite of open source data science tools and commercial data mining products running over networks of Linux-based servers.