The Australasian Data Mining Conference

CONFERENCE PROGRAMME

9:00 - 9:10 Opening and Welcome

Session 1 - Practical Data Mining

9:10 - 10:00
STOCHASTIC GRADIENT BOOSTING: AN INTRODUCTION TO TreeNet(tm)
Dan Steinberg, Mikhail Golovnya and N. Scott Cardell
Salford Systems

10:00 - 10:20
CASE STUDY: MODELING RISK IN HEALTH INSURANCE - A DATA MINING APPROACH
Inna Kolyshkina and Richard Brookes
PricewaterhouseCoopers Actuarial Sydney

10:20 - 10:35 Coffee break

Session 2 - Applications of Data Mining

10:35 - 11:00
INVESTIGATIVE PROFILE ANALYSIS WITH COMPUTER FORENSIC LOG DATA USING ATTRIBUTE GENERALISATION
Tamas Abraham, Ryan Kling and Olivier de Vel
Defence Science and Technology Organisation, Australia

11:00 - 11:25
MINING ANTARCTIC SCIENTIFIC DATA: A CASE STUDY
Ben Raymond and Eric J. Woehler
Australian Antarctic Division

11:25 - 11:50
COMBINING DATA MINING AND ARTIFICIAL NEURAL NETWORKS FOR DECISION SUPPORT
Sergio Viademonte and Frada Burstein
Monash University

11:50 - 12:15
TOWARDS ANYTIME ANYWHERE DATA MINING E-SERVICES
Shonali Krishnaswamy, Seng Wai Loke and Arkady Zaslavsky
Monash University

12:15 - 13:00 Lunch

Session 3 - Data Mining Methods and Algorithms

13:00 - 13:25
A HEURISTIC LAZY BAYESIAN RULE ALGORITHM
Zhihai Wang and Geoffrey I. Webb
Monash University

13:25 - 13:50
AVERAGED ONE-DEPENDENCE ESTIMATORS: PRELIMINARY RESULTS
Geoffrey I. Webb, Janice Boughton and Zhihai Wang
Monash University

13:50 - 14:15
SEMIDISCRETE DECOMPOSITION: A BUMP HUNTING TECHNIQUE
Sabine McConnell and David B. Skillicorn
Queens University, Canada

14:15 - 14:40
AN OVERVIEW OF TEMPORAL DATA MINING
Weiqiang Lin, Mehmet A. Orgun and Graham. J. Williams
Macquarie University and CSIRO Data Mining

14:40 - 14:55 Coffee break

Session 4 - Data Preprocessing and Supporting Technologies

14:55 - 15:20
PROBABILISTIC NAME AND ADDRESS CLEANING AND STANDARDISATION
Peter Christen, Tim Churches and Justin Zhu
Australian National University and
New South Wales Department of Health

15:20 - 15:45
BUILDING A DATA MINING QUERY OPTIMIZER
Raj P. Gopalan, Tariq Nuruddin and Yudho Giri Sucahyo
Curtin University of Technology

15:45 - 16:10
HOW FAST IS -FAST? PERFORMANCE ANALYSIS OF KDD APPLICATIONS
USING HARDWARE PERFORMANCE COUNTERS ON ULTRASPARC-III
Adam Czezowski and Peter Christen
Australian National University

16:10 - 17:00 Session 5 - Project Reports, Discussion and Closure

Session 5 will highlight data mining activities through invited
presentations from group representatives and provide brief
presentations of on-going `greenhouse' work, which may include early
stages of research and development work. Software demonstrations are
also welcome.