Home Dates Program Registration Venue Organise Related Admin AusDM Togaware | Conference Program Wednesday, 29 November, 200609:00 - 09:05 Opening and Welcome 09:05 - 10:05 INDUSTRY KEYNOTE: Tom Osborn, Thought Experiments 'The less trodden path
to data mining opportunities' 10:05
- 10:30 Coffee
break 10:30 - 12:30 Session
1: Professional Challenges 10:30 - 11:00 SAFELY
DELEGATING DATA MINING TASKS, 11:00 - 11: 30 DATA
MINING METHODOLOGICAL WEAKNESSES AND SUGGESTED FIXES, 11:30 - 12: 00 ACCURACY
ESTIMATION WITH CLUSTERED DATASET, 12:00 - 12:30 TOWARDS
AUTOMATED RECORD LINKAGE, 12:30
- 13:30 Lunch 13:30 - 14:30 INDUSTRY KEYNOTE: Inna Kolyshkina, IAPA, "Update about
IAPA matters" INDUSTRY
KEYNOTE: 14:30
- 15:00 Coffee
break 15:00 - 17:00 Session 2: Health Data Mining 15:00 - 15:30 A
COMPARATIVE STUDY OF CLASSIFICATION METHODS FOR MICROARRAY DATA ANALYSIS, 15:30 - 16:00 DATA
MINING IN CONCEPTUALISING ACTIVE AGEING, 16:00 - 16:30 ANALYSIS
OF BREAST FEEDING DATA USING DATA MINING METHODS, 16:30 - 17:00 USING
A KERNEL-BASED APPROACH TO VISUALIZE INTEGRATED CHRONIC FATIGUE SYNDROME
DATASETS, 15:00 - 17:00 Session 3: Scientific Data Mining 15:00 - 15:30 ANALYZING
HARMONIC MONITORING DATA USING DATA MINING, 15:30 - 16:00 DISCOVER
KNOWLEDGE FROM DISTRIBUTION MAPS USING BAYESIAN NETWORKS, 16:00 - 16:30 DATA
MINING FOR LIFETIME PREDICTION OF METALLIC COMPONENTS, Thursday, 30 November, 200609:00 - 10:00 INDUSTRY KEYNOTE: Jolie Baasch, Credit Corp Group Limited 'Data Mining: Bridging the Gap
between Research and Deployment' 10:05
- 10:30 Coffee
break 10:30 - 12:30 Session
4: Text Mining 10:30 - 11:00 INTEGRATED
SCORING FOR SPELLING ERROR CORRECTION, ABBREVIATION EXPANSION AND CASE
RESTORATION IN DIRTY TEXT, 11:00 - 11:30 A
STUDY OF LOCAL AND GLOBAL THRESHOLDING TECHNIQUES IN TEXT CATEGORIZATION, 11:30 - 12:00 A
CHARACTERIZATION OF WORDNET FEATURES IN BOOLEAN MODELS FOR TEXT CLASSIFICATION, 12:00 - 12:30 WEIGHTED
KERNEL MODEL FOR TEXT CATEGORIZATION, 10:30 - 12:30 Session
5: Algorithms 10:30 - 11:00 VISUALIZATION
OF ATTRACTIVE AND REPULSIVE ZONES BETWEEN VARIABLES, 11:00 - 11:30 ON
THE OPTIMAL WORKING SET SIZE IN SERIAL AND PARALLEL SUPPORT VECTOR MACHINE
LEARNING WITH THE DECOMPOSITION ALGORITHM, 11:30 - 12: 00 MARKING
TIME IN SEQUENCE MINING, 12:30
- 13:30 Lunch 13:30 - 14:30 INDUSTRY KEYNOTE: Paul Beinat, NeuronWorks Pty.
Ltd. Incremental Improvement in Regression using Insurance Data 14:30
- 15:00 Coffee
break 15:00 - 17:00 Session 6: Financial Data Mining 15:00 - 15:30 DISCOVERING
DEBTOR PATTERNS OF CENTRELINK CUSTOMERS, 15:30 - 16:00 WHAT
TYPES OF EVENTS PROVIDE THE STRONGEST EVIDENCE THAT THE STOCK MARKET IS
AFFECTED BY COMPANY SPECIFIC NEWS? 16:00 - 16:30 INVESTIGATING
THE SIZE AND VALUE EFFECT IN DETERMINING PERFORMANCE OF AUSTRALIAN LISTED
COMPANIES: A NEURAL NETWORK APPROACH, 15:00 - 17:00 Session 7: Web Mining 15:00 - 15:30 EXTRACTION
OF FLAT AND NESTED DATA RECORDS FROM WEB PAGES, 15:30 - 16:00 TRACKING
THE CHANGES OF DYNAMIC WEB PAGES IN THE EXISTENCE OF URL REWRITING, 16:00 - 16:30 A
FRAMEWORK OF COMBINING MARKOV MODEL WITH ASSOCIATION RULES FOR PREDICTING WEB
PAGE ACCESSES, 16:30 - 17:00 MODELING
PROLIFERATION OF IDEAS IN ONLINE SOCIAL NETWORKS, |