7. AusDM 2008: Glenelg/Adelaide, SA, Australia

• David M. W. Powers:
  Minors as Miners - Modelling and Evaluating Ontological and Linguistic Learning. 3-14
  
• Geoffrey I. Webb: Multi-Strategy Ensemble Learning, Ensembles of Bayesian Classifiers, and the Problem of False Discoveries. 15
• Richard Price: Volume, Velocity and Variety - Key Challenges for Mining Large Volumes of Multimedia Information. 17
• Wen Haw Chong:
  On Inconsistencies in Quantifying Strength of Community Structures. 21-26
  
• Cheng G. Weng, Josiah Poon:
  A New Evaluation Measure for Imbalanced Datasets. 27-32
  
• Zhipeng Xie:
  LBR-Meta: An Efficient Algorithm for Lazy Bayesian Rules. 33-39
  
• Alan Allwright, John F. Roddick:
  Exploratory Mining over Organisational Communications Data. 41-50
  
• Peter Christen, Ross Gayler:
  Towards Scalable Real-Time Entity Resolution using a Similarity-Aware Inverted Index Approach. 51-60
  
• Harsha Honnappa:
  Customer Event Rate Estimation Using Particle Filters. 61-72
  
• Xiaoxun Sun, Hua Wang, Jiuyong Li:
  Priority Driven K-Anonymisation for Privacy Protection. 73-78
  
• Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer, Byeong-Soo Jeong, Young-Koo Lee:
  ShrFP-Tree: An Efficient Tree Structure for Mining Share-Frequent Patterns. 79-86
  
• Yun Sing Koh, Russel Pears:
  Rare Association Rule Mining via Transaction Clustering. 87-94
  
• Hassan Saneifar, Sandra Bringay, Anne Laurent, Maguelonne Teisseire:
  S2MP: Similarity Measure for Sequential Patterns. 95-104
  
• Yin Shan, David Jeacocke, D. Wayne Murray, Alison Sutinen:
  Mining Medical Specialist Billing Patterns for Health Service Management. 105-110
  
• Ahmad Al-Oqaily, Paul J. Kennedy, Daniel R. Catchpoole, Simeon J. Simoff:
  Comparison of Visualization Methods of Genome-wide SNP Profiles in Childhood Acute Lymphoblastic Leukaemia. 111-121
  
• Omar AlZoubi, Irena Koprinska, Rafael A. Calvo:
  Classification of Brain-Computer Interface Data. 123-131
  
• Hamid Ghous, Paul J. Kennedy, Daniel R. Catchpoole, Simeon J. Simoff:
  Kernel-based Visualisation of Genes with the Gene Ontology. 133-140
  
• Umer Khan, Hyunjung Shin, Jongpill Choi, Minkoo Kim:
  wFDT - Weighted Fuzzy Decision Trees for Prognosis of Breast Cancer Survivability. 141-152
  
• Abhi Dattasharma, Praveen Kumar Tripathi, Sridhar G:
  Identifying Stock Similarity Based on Multi-event Episodes. 153-162
  
• Ibai Gurrutxaga, Olatz Arbelaitz, Jesús M. Pérez, Javier Muguerza, José Ignacio Martín, Iñigo Perona:
  Evaluation of Malware clustering based on its dynamic behaviour. 163-170
  
• Iñigo Perona, Ibai Gurrutxaga, Olatz Arbelaitz, José Ignacio Martín, Javier Muguerza, Jesús M. Pérez:
  Service-independent payload analysis to improve intrusion detection in network traffic. 171-178
  
• S. A. Arul Shalom, Manoranjan Dash, Minh Tue:
  Graphics Hardware based Efficient and Scalable Fuzzy C-Means Clustering. 179-186
  
• Kha Tran, Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
  Indoor Location Prediction Using Multiple Wireless Received Signal Strengths. 187-192
  
• Brett Edwards, Michael Zatorsky, Richi Nayak:
  Clustering and Classification of Maintenance Logs using Text Data Mining. 193-199
  
• Mondelle Simeon, Robert J. Hilderman:
  Categorical Proportional Difference: A Feature Selection Method for Text Categorization. 201-208
  
• Supphachai Thaicharoen, Tom Altman, Krzysztof J. Cios:
  Structure-Based Document Model with Discrete Wavelet Transforms and Its Application to Document Classification. 209-217
  
• Tien Tran, Richi Nayak, Peter Bruza:
  Combining Structure and Content Similarities for XML Document Clustering. 219-226