The Conference Program is subject to change but only minor changes are expected.
Monday 5 December |
|
---|---|
9:00 – 9:05am 9:05am – 10:05am |
Openning Invited Keynote: Inna Kolyshkina on Text Mining |
10:05 – 10:30 am |
Morning Tea |
10:30 – 12:00 pm
Text Mining
|
Incorporate Domain Knowledge into Support Vector Machine to Classify Price Impacts of Unexpected News Ting Yu, Tony Jan, John Debenham and Simeon Simoff
Text Mining - A Discrete Dynamical System Approach Using
the Resonance Model
Critical Vector Learning for Text Categorisation |
12:00 – 1:30pm |
Lunch |
1:30 – 2:30pm |
Invited Keynote: John Galloway “Link Analysis” |
2:30 – 3:00pm |
Afternoon Tea |
3:00 – 5:00pm
Linking and Streaming
|
Assessing Deduplication and Data Linkage Quality: What to
Measure?
Automated Probabilistic Address Standardisation and
Verification
Differential Categorical Data Stream Clustering
S-Monitors: Low-Cost Change Detection in Data
Streams |
Tuesday 6 December |
|
9am – 10:00am |
Invited Keynote: Eugene Dubossarsky on Customer Analytics |
10:00 – 10:30 am |
Morning Tea |
10:30 – 12:30 pm
Methodology |
Domain-Driven In-Depth
Pattern Discovery: A Practical Methodology Modeling Microarray Datasets for Efficient Feature
Selection
Predicting Intrinsically Unstructured Proteins Based on
Amino Acid Composition
A Comparative Study of Semi-naive Bayes Methods in
Classification Learning |
12:30 – 1:30pm |
Lunch |
1:30 – 2:30pm |
Invited Keynote: Warwick Graco on Data Mining in the ATO |
2:30 – 3:00pm |
Afternoon Tea |
3:00 – 5:00pm
Applications and Methodology
|
A Statistically Sound Alternative Approach to Mining
Contrast Sets
Classification of Music Based on Musical Instrument
Timbre
A Comparison of Support Vector Machines and
Self-Organizing Maps for e-Mail Categorization
Weighted Evidence Accumulation Clustering |