Invited and Accepted Papers

Invited

• Credit Scoring and Data Mining
  Ross Gayler

Accepted

• Edge Evaluation in Bayesian Network Structures
  Saaid Baraty, Dan Simovici
• Kernel-based Principal Components Analysis on Large Telecommunication Data
  Takeshi Sato, BingQuan Huang, Guillem Lefait, Tahar Kechadi, Brian Buckley
• Distributed Association Rule Mining with Minimum Communication Overhead
  Md. Golam Kaosar, Zhuojia Xu, Xun Yi
• Single Document Semantic Spaces
  Jorge Villalon, Rafael Calvo
• A Query Based Approach for Mining Evolving Graphs
  Andrey Kan, Jeffrey Chan, James Bailey, Christopher Leckie
• Efficiently Mining Frequent Subpaths
  Sumanta Guha
• SparseDTW: A Novel Approach to Speed up Dynamic Time Warping
  Ghazi Al-Naymat, Sanjay Chawla, Javid Taheri
• Discovering Inappropriate Billings with Local Density-based Outlier Detection Method
  Yin Shan, D. Wayne Murray, Alison Sutinen
• Clustering Interval-valued Data Using an Overlapped Interval Divergence
  Yongli Ren, Yu-Hsn Liu, Jia Rong, Robert Dew
• FlowRecommender: A Workflow Recommendation Technique for Process Provenance
  Ji Zhang
• Monetising User Generated Content on YouTube
  Yu-Hsn Liu, Yongli Ren, Robert Dew
• Studying Genotype-Phenotype Attack on k-Anonymised Medical and Genomic Data
  Muzammil Mirza Baig, Jiuyong Li, Jixue Liu, Hua Wang
• HDAX: Historical Symbolic Modelling of Delay Time-Series in a Communications Network
  Hooman Homayounfard, Paul Kennedy
• Applying Clustering and Ensemble Clustering Approaches to Phishing Profiling
  Dean Webb, John Yearwood, Peter Vamplew, Liping Ma, Bahadoreza Ofoghi, Andrei Kelarev
• Mining Minimal Constrained Flow Cycles from Complex Transaction Data
  Meng Xu, Michael Bain
• Predictive Analytics That Takes in Account Network Relations: A Case Study of an Enterprise University
  Ekta Nankani, Simeon Simoff
• Reference Point Transformation for Visualization
  Cheng Weng, Josiah Poon
• Efficient Mining of Top-k Breaker Emerging Subgraph Patterns form Graph Data
  Min Gan, Honghua Dai
• Negative-GSP: An Efficient Method for Mining Negative Sequential Patterns
  Zhigang Zheng, Yanchang Zhao, Longbing Cao
• Non-Redundant Rare Itemset Generation
  Yun Sing Koh, Russel Pears
• Building a generic graph-based descriptor set for use in drug discovery
  Phillip Lock, Nicolas Le Mercier, Jiuyong Li, Markus Stumptner
• QUEST: Discovering Insights from Survey Responses
  Girish Palshikar, Shailesh Deshpande, Savita Bhat

For further information contact Kok-Leong Ong (Deakin) or Paul Kennedy (UTS) through AusDM09@togaware.com