Mining risk patterns in medical data
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
A Rule Evaluation Support Method with Learning Models Based on Objective Rule Evaluation Indexes
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Interestingness measures for data mining: A survey
ACM Computing Surveys (CSUR)
Evaluation of rule interestingness measures in medical knowledge discovery in databases
Artificial Intelligence in Medicine
Analyzing Behavior of Objective Rule Evaluation Indices Based on a Correlation Coefficient
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Finding Functional Groups of Objective Rule Evaluation Indices Using PCA
PAKM '08 Proceedings of the 7th International Conference on Practical Aspects of Knowledge Management
Scalable pattern mining with Bayesian networks as background knowledge
Data Mining and Knowledge Discovery
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Efficient discovery of risk patterns in medical data
Artificial Intelligence in Medicine
Investigating Accuracies of Classifications for Randomized Imbalanced Class Distributions
Fundamenta Informaticae - Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (II)
A Comparison of Composed Objective Rule Evaluation Indices Using PCA and Single Indices
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
A new generic basis of "factual" and "implicative" association rules
Intelligent Data Analysis
Improving a rule evaluation support method based on objective indices
International Journal of Advanced Intelligence Paradigms
The outer impartation information content of rules and rule sets
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Evaluating accuracies of a trading rule mining method based on temporal pattern extraction
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Analyzing correlation coefficients of objective rule evaluation indices on classification rules
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Generic association rule bases: are they so succinct?
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Evaluating a rule evaluation support method based on objective rule evaluation indices
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Developing a rule evaluation support method based on objective indices
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Evaluating the correlation between objective rule interestingness measures and real human interest
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Evaluating learning models for a rule evaluation support method based on objective indices
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
JSAI'05 Proceedings of the 2005 international conference on New Frontiers in Artificial Intelligence
PKAW'06 Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management
MDAI'06 Proceedings of the Third international conference on Modeling Decisions for Artificial Intelligence
Performance of classification models from a user perspective
Decision Support Systems
Investigating Accuracies of Classifications for Randomized Imbalanced Class Distributions
Fundamenta Informaticae - Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (II)
Interestingness measures for fixed consequent rules
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
BruteSuppression: a size reduction method for Apriori rule sets
Journal of Intelligent Information Systems
Behavior-based clustering and analysis of interestingness measures for association rule mining
Data Mining and Knowledge Discovery
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This research empirically investigates the performance of conventional rule interestingness measures and discusses their practicality for supporting KDD through human-system interaction in medical domain. We compared the evaluation results by a medical expert and those by selected measures for the rules discovered from a dataset on hepatitis. Recall, Jaccard, Kappa, CST, X2-M, and Peculiarity demonstrated the highest performance, and many measures showed a complementary trend under our experimental conditions. These results indicate that some measures can predict really interesting rules at a certain level and that their combinational use will be useful.