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AUSDM
2007
Springer
140views Data Mining» more  AUSDM 2007»
14 years 2 months ago
The application of data mining techniques to characterize agricultural soil profiles
The advances in computing and information storage have provided vast amounts of data. The challenge has been to extract knowledge from this raw data; this has lead to new methods ...
Leisa Armstrong, Dean Diepeveen, Rowan Maddern
AUSDM
2007
Springer
102views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Determining Termhood for Learning Domain Ontologies in a Probabilistic Framework
Many existing techniques for term extraction are heuristically-motivated and criticised as ad-hoc. The definitions and assumptions critical to set the boundary for the effective...
Wilson Wong, Wei Liu, Mohammed Bennamoun
AUSDM
2007
Springer
106views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Establishing a Lineage for Medical Knowledge Discovery
Medical science has a long history characterised by incidents of extraordinary insights that have resulted in a paradigm shift in the methodologies and approaches used and have mo...
Anna Shillabeer, John F. Roddick
AUSDM
2007
Springer
124views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Analytics for Audit and Business Controls in Corporate Travel and Entertainment
Vijay S. Iyengar, Ioana Boier, Karen Kelley, Raymo...
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Discovering Frequent Sets from Data Streams with CPU Constraint
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vince...
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh
AUSDM
2007
Springer
100views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Determining Termhood for Learning Domain Ontologies using Domain Prevalence and Tendency
In the course of reviewing existing automatic term recognition techniques for applications in ontology learning, we came across four issues which can be improved upon. We proposed...
Wilson Wong, Wei Liu, Mohammed Bennamoun
AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Adaptive Spike Detection for Resilient Data Stream Mining
Automated adversarial detection systems can fail when under attack by adversaries. As part of a resilient data stream mining system to reduce the possibility of such failure, adap...
Clifton Phua, Kate Smith-Miles, Vincent C. S. Lee,...
AUSDM
2007
Springer
108views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Mining for offender group detection and story of a police operation
Fatih Ozgul, Julian Bondy, Hakan Aksoy
AUSDM
2007
Springer
112views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Measuring Data-Driven Ontology Changes using Text Mining
Most current ontology management systems concentrate on detecting usage-driven changes and representing changes formally in order to maintain the consistency. In this paper, we pr...
Majigsuren Enkhsaikhan, Wilson Wong, Wei Liu, Mark...