Invited Talk World Congress DSA 2012

Aspects of Data Mining

Graham Williams
Australian Taxation Office, Australia

Abstract:

Data mining has become an essential capability in Government for analysing collected data to improve business processes and for identifying non-compliance icluding fraud and abuse.Technology for data mining has matured to the extent that it has become a commodity that has challenged the pre-eminence of the commercial products. In this presentation I cover the journey the Australian Taxation Office has undertaken to establish a data-mining capability and the key developments in this process. Models built using such tools are now deployed in the Australian Taxation Office and risk assess every tax return lodged in Australia. This presentation contains lessons and pointers that will benefit those who do data mining in industry and commerce.

Biography of the Presenter

Professor Williams is Director of Data Mining at the Australian Taxation Office, and previously Principal Computer Scientist for Data Mining with CSIRO, Australia's premier government research organisation. He is a Senior International Expert and Visiting Professor of the Chinese Academy of Sciences at the Shenzhen Institutes of Advanced Technologies, and Adjunct Professor in Data Mining, Fraud Prevention, Security, at the University of Canberra and Australian National University. Graham is an active machine learning researcher and regularly teaches data mining courses. He is author of the recently released book: Data Mining with Rattle and R: The Art of Excavating Knowledge from Data. Graham has been involved in data mining projects for clients from government and industry over 25 years. His research developments include ensemble learning and hot spots discovery. He is involved in numerous international artificial intelligence and data mining research activities and conferences and has editted a number of books and has authored many academic and industry papers. He is chair of the Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), and the Australasian Conference on Data Mining (AusDM). His current focus is on ensuring data mining technology, to support innovation and sharing of knowledge.

 

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