Program

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

 

ĉ
Yanchang Zhao,
Nov 11, 2014, 9:30 PM
Ċ
Yanchang Zhao,
Nov 11, 2014, 9:32 PM