Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Finding interesting rules from large sets of discovered association rules
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Pruning and summarizing the discovered associations
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Generating non-redundant association rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Multi-level organization and summarization of the discovered rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
KDD-Cup 2000 organizers' report: peeling the onion
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Scalable Algorithms for Association Mining
IEEE Transactions on Knowledge and Data Engineering
A New Approach to Online Generation of Association Rules
IEEE Transactions on Knowledge and Data Engineering
Selecting the right interestingness measure for association patterns
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Constraint-Based Rule Mining in Large, Dense Databases
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Efficient mining of both positive and negative association rules
ACM Transactions on Information Systems (TOIS)
Mining Non-Redundant Association Rules
Data Mining and Knowledge Discovery
Post-processing of associative classification rules using closed sets
Expert Systems with Applications: An International Journal
Mining important association rules based on the RFMD technique
International Journal of Data Analysis Techniques and Strategies
A contextual data mining approach toward assisting the treatment of anxiety disorders
IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
A fast pruning redundant rule method using Galois connection
Applied Soft Computing
Mining monolingual and bilingual corpora
Intelligent Data Analysis
Association mining of dependency between time series using Genetic Algorithm and discretisation
International Journal of Business Intelligence and Data Mining
EWgen: automatic generation of item weights for weighted association rule mining
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Privacy preservation for associative classification: an approximation algorithm
International Journal of Business Intelligence and Data Mining
Information Sciences: an International Journal
Automatic Item Weight Generation for Pattern Mining and its Application
International Journal of Data Warehousing and Mining
Weak Ratio Rules: A Generalized Boolean Association Rules
International Journal of Data Warehousing and Mining
Incremental Algorithm for Discovering Frequent Subsequences in Multiple Data Streams
International Journal of Data Warehousing and Mining
User Behaviour Pattern Mining from Weblog
International Journal of Data Warehousing and Mining
A new parallel association rule mining algorithm on distributed shared memory system
International Journal of Business Intelligence and Data Mining
FAR-miner: a fast and efficient algorithm for fuzzy association rule mining
International Journal of Business Intelligence and Data Mining
Key roles of closed sets and minimal generators in concise representations of frequent patterns
Intelligent Data Analysis
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To discover hidden correlations, association rule mining methods use two important constraints known as support and confidence. However, mining methods are often unable to find the best value for these constraints: large number of rules when these thresholds are low; very few rules when these thresholds are high. In addition, regardless of these above thresholds, mining methods produce many rules that have identical meaning or, redundant rules. Indeed such redundant rules seem as a main impediment to efficient utilisation of discovered rules, and should be removed. To achieve this aim, here we present several methods that identify those rules that are redundant and eliminate them.