Program for AusDM03 Conference

Monday, 8 December, 2003, Canberra, Australia

9:00 - 9:15     Opening and Welcome

9:15 - 10:30   Session 1

·  09:15 - 09:40     STOCHASTIC PRELIMINARY INVESTIGATIONS INTO STATISTICALLY VALID EXPLORATORY RULE DISCOVERY

Geoffrey I. Webb

·  09:40 - 10:05     TWO PHASE CLASSIFICATION BY EMERGING PATTERNS

Ming Fan, Weimei Zhi, Hongjian Fan and Yigui Sun

·  10:05 - 10:30     FEATURE PREPARATION IN TEXT CATEGORIZATION

Ciya Liao, Shamim Alpha and Paul Dixon

10:30 - 11:00 Coffee break

11:00 - 12:30 Session 2

·  11:00 - 11:25     LEARNING QUANTITATIVE GENE INTERACTIONS FROM MICROARRAY DATA

Michael Bain and Bruno Gaëta

·  11:25 - 11:50     AN MINING APPROACH USING MOUCLAS PATTERNS

Yalei Hao, Markus Stumptner and Gerald Quirchmayr

·  11:50 - 12:15     FROM RULE VISUALISATION TO GUIDED KNOWLEDGE DISCOVERY

Aaron Ceglar, John F. Roddick, Carl H. Mooney and Paul Calder

·  12:15 - 12:30     TEXTURE ANALYSIS VIA DATA MINING

Martin Heckel

12:30 - 13:30 Lunch

13:30 - 14:50 Session 3

·  13:30 - 13:45     CLUSTERING TIME SERIES FROM MIXTURE POLYNOMIAL MODELS
WITH DISCRETISED DATA

A. J. Bagnall, G. Janacek, B. de la Iglesia and M. Zhang

·  13:45 - 14:00     RELATIVE TEMPORAL ASSOCIATION RULE MINING

Edi Winarko and John F. Roddick

·  14:00 - 14:25     A STUDY OF DRUG-REACTION RELATIONS IN
AUSTRALIAN DRUG SAFETY DATA

M. A. Mamedov, G. W. Saunders and E. Dekker

·  14:25 - 14:50     MINING GEOGRAPHICAL DATA WITH SPARSE GRIDS

Markus Hegland and Shawn W. Laffan

14:50 - 15:20 Coffee break

15:20 - 16:40 Session 4

·  15:20 - 15:45     CONGO: Clustering on the Gene Ontology

Paul J. Kennedy and Simeon J. Simoff

·  15:45 - 16:00     ADAPTIVE MINING TECHNIQUES FOR DATA STREAMS
USING ALGORITHM OUTPUT GRANULARITY

Mohamed Medhat Gaber, Shonali Krishnaswamy and Arkady Zaslavsky

·  16:00 - 16:15     AN ANALYTICAL APPROACH FOR HANDLING ASSOCIATION RULE MINING RESULTS

Rodrigo Salvador Monteiro, Geraldo Zimbrão and Jano Moreira de Souza

·  16:15 - 16:40     MODELLING INSURANCE RISK: A COMPARISON OF DATA MINING AND
LOGISTIC REGRESSION APPROACHES

Inna Kolyshkina, Peter Petocz and Ingrid Rylander

16:40 - 17:00 Closing Session

·  16:40 - 16:50     AUSTRALIAN RESEARCH COUNCIL RESEARCH NETWORK ON IMPROVING AUSTRALIA'S DATA MINING AND KNOWLEDGE DISCOVERY RESEARCH

John F. Roddick

·  16:50 - 17:00     INSTITUTE OF ANALYTIC PROFESSIONALS OF AUSTRALIA

Inna Kolyshkina