6. AusDM 2007: Gold Coast, Queensland, Australia

• Vijay S. Iyengar, Ioana Boier, Karen Kelley, Raymond Curatolo:
  Analytics for Audit and Business Controls in Corporate Travel and Entertainment. 3-12
  
• Inna Kolyshkina, Simeon J. Simoff:
  Customer Analytics Projects: Addressing Existing Problems with a Process that Leads to Success. 13-19
  
• Rohan A. Baxter, Mark Gawler, Russell Ang:
  Predictive Model of Insolvency Risk for Australian Corporations. 21-28
  
• Anna Shillabeer, John F. Roddick:
  Establishing a Lineage for Medical Knowledge Discovery. 29-37
  
• Majigsuren Enkhsaikhan, Wilson Wong, Wei Liu, Mark Reynolds:
  Measuring Data-Driven Ontology Changes using Text Mining. 39-46
  
• Wilson Wong, Wei Liu, Mohammed Bennamoun:
  Determining Termhood for Learning Domain Ontologies using Domain Prevalence and Tendency. 47-54
  
• Wilson Wong, Wei Liu, Mohammed Bennamoun:
  Determining Termhood for Learning Domain Ontologies in a Probabilistic Framework. 55-63
  
• Deanna J. Osman, John Yearwood, Peter Vamplew:
  Using Corpus Analysis to Inform Research into Opinion Detection in Blogs. 65-75
  
• Denny, Graham J. Williams, Peter Christen:
  Exploratory Multilevel Hot Spot Analysis: Australian Taxation Office Case Study. 77-84
  
• Leisa Armstrong, Dean Diepeveen, Rowan Maddern:
  The application of data mining techniques to characterize agricultural soil profiles. 85-100
  
• Jason Chen:
  Useful Clustering Outcomes from Meaningful Time Series Clustering. 101-109
  
• Peter Christen:
  A Two-Step Classification Approach to Unsupervised Record Linkage. 111-119
  
• Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vincent C. S. Lee:
  Discovering Frequent Sets from Data Streams with CPU Constraint. 121-128
  
• John F. Roddick, Peter Fule:
  SemGrAM - Integrating Semantic Graphs into Association Rule Mining. 129-137
  
• Elsa Loekito, James Bailey:
  Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets? 139-150
  
• Sangeetha Kutty, Richi Nayak, Yuefeng Li:
  PCITMiner- Prefix-based Closed Induced Tree Miner for finding closed induced frequent subtrees. 151-160
  
• Calum Robertson, Shlomo Geva, Rodney Wolff:
  News Aware Volatility Forecasting: Is the Content of News Important? 161-170
  
• Chandima Tilakaratne, Musa A. Mammadov, Sidney A. Morris:
  Effectiveness of Using Quantified Intermarket Influence for Predicting Trading Signals of Stock Markets. 171-179
  
• Clifton Phua, Kate Smith-Miles, Vincent C. S. Lee, Ross Gayler:
  Adaptive Spike Detection for Resilient Data Stream Mining. 181-188
  
• Fatih Ozgul, Julian Bondy, Hakan Aksoy:
  Mining for offender group detection and story of a police operation. 189-193
  
• Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh:
  Preference Networks: Probabilistic Models for Recommendation Systems. 195-202
  
• Anthony Quinn, Andrew Stranieri, John Yearwood:
  Classification for accuracy and insight: A weighted sum approach. 203-208
  
• Artak Amirbekyan, Vladimir Estivill-Castro:
  A New Efficient Privacy-Preserving Scalar Product Protocol. 209-214
  
• Khandaker Shahidul Islam:
  An E-Market Framework to Determine the Strength of Business Relationships between Intelligent Agents. 215-224
  
• Bozena Stewart:
  Reflection on Development and Delivery of a Data Mining Unit. 225-232
  
• Peter Christen:
  Evaluation of a Graduate Level Data Mining Course with Industry Participants. 233-241