IEEE Transactions on Knowledge and Data Engineering
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Ranking discovered rules from data mining with multiple criteria by data envelopment analysis
Expert Systems with Applications: An International Journal
Discovering Significant Patterns
Machine Learning
Mining infrequent and interesting rules from transaction records
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Post-processing of associative classification rules using closed sets
Expert Systems with Applications: An International Journal
Efficient discovery of risk patterns in medical data
Artificial Intelligence in Medicine
Cluster-grouping: from subgroup discovery to clustering
Machine Learning
ACM Transactions on Knowledge Discovery from Data (TKDD)
Mining important association rules based on the RFMD technique
International Journal of Data Analysis Techniques and Strategies
Mining frequent arrangements of temporal intervals
Knowledge and Information Systems
Mining rough association from text documents for web information gathering
Transactions on rough sets VII
International Journal of Intelligent Information and Database Systems
A fast pruning redundant rule method using Galois connection
Applied Soft Computing
Intelligent Data Analysis
Estimating the difficulty level of the challenges proposed in a competitive e-learning environment
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Inferring multidimensional cubes for representing conceptual document spaces
CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial 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
Gene relation finding through mining microarray data and literature
Transactions on Computational Systems Biology V
Efficient Search Methods for Statistical Dependency Rules
Fundamenta Informaticae - Machine Learning in Bioinformatics
Cover similarity based item set mining
Bisociative Knowledge Discovery
Mining top-k association rules
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Optimonotone Measures For Optimal Rule Discovery
Computational Intelligence
Mining top-K non-redundant association rules
ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
Discovering associations in high-dimensional data
ADC '12 Proceedings of the Twenty-Third Australasian Database Conference - Volume 124
A fuzzy coherent rule mining algorithm
Applied Soft Computing
Hi-index | 0.00 |
K-optimal rule discovery finds the K rules that optimize a user-specified measure of rule value with respect to a set of sample data and user-specified constraints. This approach avoids many limitations of the frequent itemset approach of association rule discovery. This paper presents a scalable algorithm applicable to a wide range of K-optimal rule discovery tasks and demonstrates its efficiency.