6. AusDM 2007: Gold Coast, Queensland, Australia
Peter Christen, Paul J. Kennedy, Jiuyong Li, Inna Kolyshkina, Graham J. Williams (Eds.): Data Mining and Analytics 2007, Proceedings of the Sixth Australasian Data Mining Conference (AusDM 2007), Gold Coast, Queensland, Australia, December 3-4, 2007, Proceedings. Australian Computer Society 2007 CRPIT 70 ISBN 978-1-920682-51-4- 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
- 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 J. 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 W. 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
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last updated on 2013-10-16T203152 by the dblp team