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ORCID6. AusDM 2007: Gold Coast, Queensland, Australia
- Peter Christen, Paul J. Kennedy, Jiuyong Li, Inna Kolyshkina, Graham J. Williams:
Data Mining and Analytics 2007, Proceedings of the Sixth Australasian Data Mining Conference (AusDM 2007), Gold Coast, Queensland, Australia, December 3-4, 2007, Proceedings. CRPIT 70, Australian Computer Society 2007, 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 - 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 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 S. 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 Özgül, 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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