BACKGROUND
The Data Mining Research Group consists of academic staff and research
students in the Faculty of Information Technology at Monash University,
Australia. The aims of the group are to provide advanced research and training
in data mining for business, government and industry. In order to achieve
these aims, the group offers the following services to clients:
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short courses for industry on data mining
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proof of concept studies
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evaluation of data mining products
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independent advice on data mining projects
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investigation of advanced research issues relating to data mining projects
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a source of qualified graduates for data mining projects
Typically, an organisation embarking on data mining is faced with many
decisions regarding how data mining can benefit their organisation, which
software products they should purchase, whether their existing staff should
be trained in data mining, or whether they recruit data mining personnel,
etc. A collaboration with the Data Mining Research Group at Monash University
typically involves researchers using a sample of the organisation's data
to demonstrate the potential of data mining, and providing recommendations
about how the organisation should proceed. Training is provided to relevant
staff, and/or graduates are recommended. Finally, relevant research issues
of mutual interest to both the researchers and the organisation are identified
for future research collaborations.
MEMBERS
The Data Mining Research Group is a collaboration of 20 researchers
and over 30 graduate students within the School of Business Systems, School
of Information Management and Systems, School of Computer Science
and Software Engineering, Gippsland School of Computing and Information
Technology, as well as the School of Business and Information Technology
at the Malaysian campus of Monash University. All schools form the Faculty
of Information Technology at Monash University. The researchers include:
Dr. Ajith Abraham
Damminda Alakahoon
Sue Bedingfield
John Betts
Rowena Chau
Dr. Yen Cheung
Dr. Peta Darke
Professor Andrew Flitman
Stephen Huxford
Dr. Ilona Jagielska
Shonali Krishnaswamy
Dr. Paul Lajbcygier
Dr. Cheng-Siong Lee
Dr. Mahendhiran S. Nair
Associate Professor Robin Pollard
Robert Redpath
Loke Kar Seng
Associate Professor Kate A. Smith (Research Group Director)
Professor Bala Srinivasan
Dr. David Squire
Dr. Lyfie Sugianto
Dr. David Taniar
Dr. Kai Ming Ting
Associate Professor Chung-Hsing Yeh
Ai Cheo Yeo
CURRENT PROJECTS
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"Marketing to Individuals using Data Mining", research project sponsored
by Coles-Myer
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"Data Mining in the Insurance Industry", Ph.D research project sponsored
by AAMI
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"Increasing Wagering Turnover Through Data Mining", research project
sponsored by TAB Limited
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"The Transition from Data Warehousing to Data Mining", Masters research
project sponsored by FITR’99 funding
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"Rule Extraction from Trained Neural Networks", Masters research project
sponsored by FITR’99 funding
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"Neural Networks for Market Basket Analysis", Masters research project
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"Data Mining for Customer Relationship Management", Masters research
project sponsored by FITR’99 funding
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"Web Usage Mining using Neural Networks", Masters research project sponsored
by FITR’99 funding
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"Data Visualisation Techniques and their Role in Data Mining", Masters
research project
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“Evolutionary rule generation for credit scoring”, PhD research project
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“Improved decision trees for data mining”, PhD research project
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"Data Mining in the Pharmaceutical Industry", Masters research project
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"Data Mining the Malaria Genome", research project in collaboration
with Faculty of Medicine, sponsored by Monash University Research Fund.
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“Neural network modelling of water-related gastroenteritis outbreaks”,
PhD research project in collaboration with Faculty of Medicine
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"Data Mining with Self Generating Neural Networks", PhD research project
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“Development of Intelligent OLAP Tools”, research project
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“Mining Stock Market Data”, research project
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“Data Mining by Structure Adapting Neural Networks”, research project
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“Rule Discovery with Neural Networks in Different Concept Levels”, research
project
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“Cash flow forecasting using neural networks”, research project in collaboration
with AXA Australia
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“Neural Networks for market response modelling”, PhD research project
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“Advertising effectiveness modelling”, research project
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“Temporal effects in direct marketing response”, Masters research project
CONTACT DETAILS
All enquiries should be directed to:
Associate Professor Kate A. Smith
Director, Data Mining Research Group
School of Business Systems telephone: +61 3
9905 5800
Monash University
fax: +61 3 9905 5159
Clayton, Victoria 3168
mobile: 0411 447728
Australia
email: kate.smith@infotech.monash.edu.au
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