Draft Program for AusDM05

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
Wenyuan Li, Kok-Leong Ong, Wee-Keong Ng


Critical Vector Learning for Text Categorisation
Lei Zhang, Debbie Zhang, Simeon Simoff

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?
Peter Christen, Karl Goiser


Automated Probabilistic Address Standardisation and Verification
Peter Christen, Daniel Belacic


Differential Categorical Data Stream Clustering
Weiyun Huang, Edward Omiecinski, Leo Mark, Weiquan Zhao


S-Monitors: Low-Cost Change Detection in Data Streams
Weiyun Huang, Edward Omiecinski, Leo Mark, Weiquan Zhao

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
Longbing cao, Rick Schurmann, chengqi zhang

Modeling Microarray Datasets for Efficient Feature Selection
Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng


Predicting Intrinsically Unstructured Proteins Based on Amino Acid Composition
Pengfei Han, Xiuzhen Zhang, Raymond S Norton, Zhi-Ping Feng


A Comparative Study of Semi-naive Bayes Methods in Classification Learning
Fei Zheng, Geoffrey Webb

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
Robert Hilderman, Terry Peckham


Classification of Music Based on Musical Instrument Timbre
Peter Somerville, Alexandra Uitdenbogerd


A Comparison of Support Vector Machines and Self-Organizing Maps for e-Mail Categorization
Helmut Berger, Dieter Merkl


Weighted Evidence Accumulation Clustering
F. Jorge Duarte, Ana Fred, André Lourenço, M. Fátima Rodrigues