Efficient search for association rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Scaling-Up Model-Based Clustering Algorithm by Working on Clustering Features
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Scalable Model-based Clustering by Working on Data Summaries
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Clinical and financial outcomes analysis with existing hospital patient records
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Detecting adverse events for patient safety research: a review of current methodologies
Journal of Biomedical Informatics - Patient safety
Exploratory medical knowledge discovery: experiences and issues
ACM SIGKDD Explorations Newsletter
On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms
Data Mining and Knowledge Discovery
A Service Oriented Architecture for a Health Research Data Network
SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
Expanding self-organizing map for data visualization and cluster analysis
Information Sciences: an International Journal - Special issue: Soft computing data mining
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
Uniqueness of medical data mining
Artificial Intelligence in Medicine
Analysis of breast feeding data using data mining methods
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
Interactive survival analysis with the OCDM system: From development to application
Information Systems Frontiers
Hybrid ensemble approach for classification
Applied Intelligence
K-optimal pattern discovery: an efficient and effective approach to exploratory data mining
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Obstacles and misunderstandings facing medical data mining
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
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The iHealth Explorer tool, developed by CSIRO and DoHA, delivers web services type data mining and analytic facilities over a web interface, providing desktop access to sophisticated analyses over very large data collections. The tool allows users to access large transactional datasets to create profiles of selected patients. The patients' profiles, together with windowed event sequences data, can then be analyzed using a user chosen data mining tool. The results of the analysis can then be visualized using various forms of knowledge representation methods. Although the initial implementation of the tool is focused on its application in adverse drug reaction exploration, this tool and the embedded data mining tools can be used in broad areas of health data analysis.