FREM: fast and robust EM clustering for large data sets
Proceedings of the eleventh international conference on Information and knowledge management
Incremental Transformation of Lattices: A Key to Effective Knowledge Discovery
ICGT '02 Proceedings of the First International Conference on Graph Transformation
Constraining and summarizing association rules in medical data
Knowledge and Information Systems
Comparing association rules and decision trees for disease prediction
HIKM '06 Proceedings of the international workshop on Healthcare information and knowledge management
Extending the state-of-the-art of constraint-based pattern discovery
Data & Knowledge Engineering
Soft constraint based pattern mining
Data & Knowledge Engineering
A constraint-based querying system for exploratory pattern discovery
Information Systems
Issues in pattern mining and their resolutions
C3S2E '09 Proceedings of the 2nd Canadian Conference on Computer Science and Software Engineering
Exploration and visualization of OLAP cubes with statistical tests
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration
Evaluating statistical tests on OLAP cubes to compare degree of disease
IEEE Transactions on Information Technology in Biomedicine - Special section on computational intelligence in medical systems
Extending the soft constraint based mining paradigm
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
Assessment of the risk factors of coronary heart events based on data mining with decision trees
IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
Pushing constraints to detect local patterns
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
Mining class association rules for word sense disambiguation
SIIS'11 Proceedings of the 2011 international conference on Security and Intelligent Information Systems
Association rule mining to detect factors which contribute to heart disease in males and females
Expert Systems with Applications: An International Journal
Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis
International Journal of Knowledge Discovery in Bioinformatics
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This work describes our experiences on discovering association rules in medical data to predict heart disease. We focus on two aspects in this work: mapping medical data toa transaction format suitable for mining association rules and identifying useful constraints. Based on these aspects we introduce an improved algorithm to discover constrainedassociation rules. We present an experimental sectionexplaining several interesting discovered rules.