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.
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 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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