Day 1 – 27 November 2014
8:30 - 9:15
|
Registration
|
9:15 - 9:30
|
AusDM 2014 Opening
|
9:30-10:30
|
Session 1:
Clustering
- Automatic Detection of Cluster
Structure Changes using Relative Density Self-Organizing Maps
Denny, Pandu Wicaksono and Ruli Manurung
- Market Segmentation of EFTPOS
Retailers
Ashishkumar Singh, Grace
Rumantir and Annie South
- Hartigan's Method for K-modes
Clustering and Its Advantages
Zheng Rong Xiang and Zahidul
Islam
|
10:30 - 11:00
|
Coffee Break
|
11:00 - 12:20
|
Session 2:
Linkage, Fusion & Cleaning
- Tree Based Scalable Indexing
for Multi-Party Privacy Preserving Record Linkage
Thilina Ranbaduge, Peter Christen and Dinusha Vatsalan
- Detecting Digital Newspaper
Duplicates with Focus on eliminating OCR errors
Yeshey Peden and Richi
Nayak
- The Schema Last Approach to
Data Fusion
Neil Brittliff and
Dharmendra Sharma
- A Triple Store Implementation
to support Tabular Data
Neil
Brittliff and Dharmendra Sharma
|
12:20-1:30
|
Lunch
|
1:30 - 3:10
|
Session 3:
Machine Learning
- Factors Influencing Robustness
and Effectiveness of Conditional Random Fields in Active Learning Frameworks
Mahnoosh Kholghi, Laurianne Sitbon,
Guido Zuccon and Anthony Nguyen
- Dynamic Class Prediction with
Classifier Based Distance Measure
Senay
Yasar Saglam and Nick Street
- Improving Scalability and
Performance of Random Forest Based Learning-to-Rank Algorithms by Aggressive
Subsampling
Muhammad Ibrahim and
Mark Carman
- Pruned Annular Extreme Learning
Machine Optimization based on RANSAC Multi Model Response Regularization
Lavneet Singh and Girija Chetty
- Identifying Product Families
Using Data Mining Techniques in Manufacturing Paradigm
Israt Jahan Chowdhury and Richi Nayak
|
Workshop:
R and Data Mining – Part 1
Dr. Yanchang Zhao
RDataMining.com
|
3:10-3:40
|
Coffee Break
|
3:40 - 4:40
|
Session 4:
Health & Bioinformatics
- Evolving Wavelet Neural
Networks for Breast Cancer Classification
Maryam Khan, Stephan Chalup and Alexandre Mendes
- Comparison of athletic
performances across disciplines anisability classes
Chris Barnes
- Locality-Sensitive Hashing for
Protein Classification
Lawrence
Buckingham, James Hogan, Shlomo Geva and Wayne Kelly
|
Workshop:
R and Data Mining – Part 2
Dr. Yanchang Zhao
RDataMining.com
|
6:45 – 10:00
|
Conference Banquet - Kookaburra River
Queens
Eagle Street Pier
|
Day 2 – 28 November 2014
9:00 - 9:30
|
Registration
|
9:30-10:30
|
Keynote 1 - Learning in sequential decision problems
Prof Peter Bartlett
University of California, Berkeley, USA
|
10:30 - 11:00
|
Coffee Break
|
11:00 - 12:20
|
Session 5:
Data Mining for Information Retrieval
- A Case Study of Utilising
Concept Knowledge in a Topic Specific Document Collection
Gavin Shaw and Richi Nayak
- Decreasing Uncertainty for
Improvement of Relevancy Prediction
Libiao Zhang, Yuefeng Li and Moch Arif
Bijaksana
- Pattern-based Topic Modelling
for Query Expansion
Yang Gao, Yue Xu
and Yuefeng Li
- Content Based Image Retrieval
Using Signature Representation
Dinesha Chathurani Nanayakkara
Wasam Uluwitige, Shlomo Geva, Vinod Chandran and Timothy Chappell
|
12:20-1:30
|
Lunch
|
1:30 - 2:30
|
Keynote 2 - Making
Sense of a Random World through Statistics
Prof Geoff
McLachlan
University
of Queensland, Brisbane, Australia
|
2:30 - 3:10
|
Session 6:
Sensor Networks
- Towards Social Media as a
Data Source for Opportunistic Sensor Networking
James Meneghello, Kevin Lee and Nik Thompson
- Data Cleansing during
Data Collection from Wireless Sensor Networks
Md Zahidul Islam, Quazi Mamun and Md Geaur Rahman
|
3:10-3:40
|
Coffee Break
|
3:40 - 4:40
|
Session 7:
Collaborative filtering & Recommendation
- An Efficient Tagging Data
Interpretation and Representation Scheme for Item Recommendation
Noor
Ifada and Richi Nayak
- A Multidimensional
Collaborative Filtering Fusion Approach with Dimensionality Reduction
Xiaoyu Tang, Yue Xu, Ahmad
Abdel-Hafez and Shlomo Geva
- Real-time Collaborative
Filtering Recommender Systems
Huizhi Liang, Haoran Du and Qing Wang
|
4:40 - 5:00
|
Conference close + best paper awards
|
|
 Updating...
ĉ Yanchang Zhao, Nov 11, 2014, 9:30 PM
Ċ Yanchang Zhao, Nov 11, 2014, 9:32 PM
|