5. AusDM 2006: Sydney, NSW, Australia

• Ling Qiu, Kok-Leong Ong, Siu Man Lui:
  Safely Delegating Data Mining Tasks. 1-7
  
• John H. Maindonald:
  Data Mining Methodological Weaknesses and Suggested Fixes. 9-16
  
• Ricco Rakotomalala, Jean-Hugues Chauchat, François Pellegrino:
  Accuracy Estimation With Clustered Dataset. 17-22
  
• Karl Goiser, Peter Christen:
  Towards Automated Record Linkage. 23-31
  
• Hong Hu, Jiuyong Li, Ashley W. Plank, Hua Wang, Grant Daggard:
  A Comparative Study of Classification Methods For Microarray Data Analysis. 33-37
  
• Richi Nayak, Laurie Buys, Jan Lovie-Kitchin:
  Data Mining in Conceptualising Active Ageing. 39-45
  
• Hongxing He, Huidong Jin, Jie Chen, Damien McAullay, Jiuyong Li, Tony Fallon:
  Analysis of Breast Feeding Data Using Data Mining Methods. 47-52
  
• Ahmad Al-Oqaily, Paul J. Kennedy:
  Using a Kernel-Based Approach to Visualize Integrated Chronic Fatigue Syndrome Datasets. 53-61
  
• Ali Asheibi, David Stirling, Danny Soetanto:
  Analyzing Harmonic Monitoring Data Using Data Mining. 63-68
  
• Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Lesslie, Michael J. Hill:
  Discover Knowledge From Distribution Maps Using Bayesian Networks. 69-74
  
• Esther Ge, Richi Nayak, Yue Xu, Yuefeng Li:
  Data Mining For Lifetime Prediction of Metallic Components. 75-81
  
• Wilson Wong, Wei Liu, Mohammed Bennamoun:
  Integrated Scoring For Spelling Error Correction, Abbreviation Expansion and Case Restoration in Dirty Text. 83-89
  
• Nayer M. Wanas, Dina A. Said, Nevin M. Darwish, Nadia Hegazy:
  A Study of Local and Global Thresholding Techniques in Text Categorization. 91-101
  
• Trevor N. Mansuy, Robert J. Hilderman:
  A Characterization of Wordnet Features in Boolean Models For Text Classification. 103-109
  
• Lei Zhang, Debbie Zhang, Simeon J. Simoff, John K. Debenham:
  Weighted Kernel Model For Text Categorization. 111-114
  
• Sylvie Guillaume, Leila Nemmiche Alachaher:
  Visualization of Attractive and Repulsive Zones Between Variables. 115-120
  
• Tatjana Eitrich, Bruno Lang:
  On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm. 121-128
  
• Carl Mooney, John F. Roddick:
  Marking Time in Sequence Mining. 129-134
  
• Yanchang Zhao, Longbing Cao, Yvonne Morrow, Yuming Ou, Jiarui Ni, Chengqi Zhang:
  Discovering Debtor Patterns of Centrelink Customers. 135-144
  
• Calum Robertson, Shlomo Geva, Rodney Wolff:
  What Types of Events Provide the Strongest Evidence that the Stock Market is Affected by Company Specific News? 145-153
  
• Justin Luu, Paul J. Kennedy:
  Investigating the Size and Value Effect in Determining Performance of Australian Listed Companies: A Neural Network Approach. 155-161
  
• Siddu P. Algur, P. S. Hiremath:
  Extraction of Flat and Nested Data Records from Web Pages. 163-168
  
• Ping-Jer Yeh, Jie-Tsung Li, Shyan-Ming Yuan:
  Tracking the Changes of Dynamic Web Pages in the Existence of URL Rewriting. 169-176
  
• Faten Khalil, Jiuyong Li, Hua Wang:
  A Framework of Combining Markov Model With Association Rules for Predicting Web Page Accesses. 177-184
  
• Muhammad A. Ahmad, Ankur Teredesai:
  Modeling Proliferation of Ideas in Online Social Networks. 185-190