Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Beyond market baskets: generalizing association rules to correlations
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Pruning and summarizing the discovered associations
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Using association rules for product assortment decisions: a case study
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Empirical bayes screening for multi-item associations
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Real world performance of association rule algorithms
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Constraint-Based Rule Mining in Large, Dense Databases
Data Mining and Knowledge Discovery
Detecting Group Differences: Mining Contrast Sets
Data Mining and Knowledge Discovery
Mining All Non-derivable Frequent Itemsets
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
On the discovery of significant statistical quantitative rules
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining Non-Redundant Association Rules
Data Mining and Knowledge Discovery
Finding the most interesting correlations in a database: how hard can it be?
Information Systems
Data Mining and Knowledge Discovery
Finding association rules that trade support optimally against confidence
Intelligent Data Analysis
Discovering Significant Patterns
Machine Learning
Assessing data mining results via swap randomization
ACM Transactions on Knowledge Discovery from Data (TKDD)
Analysing users' access logs in Moodle to improve e learning
EATIS '07 Proceedings of the 2007 Euro American conference on Telematics and information systems
Statistical mining of interesting association rules
Statistics and Computing
Maximum entropy based significance of itemsets
Knowledge and Information Systems
Bellwether analysis: Searching for cost-effective query-defined predictors in large databases
ACM Transactions on Knowledge Discovery from Data (TKDD)
Using Highly Expressive Contrast Patterns for Classification - Is It Worthwhile?
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Mining frequent arrangements of temporal intervals
Knowledge and Information Systems
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Ensembles of jittered association rule classifiers
Data Mining and Knowledge Discovery
Predictive rule discovery from electronic health records
Proceedings of the 1st ACM International Health Informatics Symposium
Intelligent Data Analysis
Secure top-k subgroup discovery
PSDML'10 Proceedings of the international ECML/PKDD conference on Privacy and security issues in data mining and machine learning
Multiple hypothesis testing in pattern discovery
DS'11 Proceedings of the 14th international conference on Discovery science
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
Secure Distributed Subgroup Discovery in Horizontally Partitioned Data
Transactions on Data Privacy
Integrating quantitative attributes in hierarchical clustering of transactional data
KES-AMSTA'12 Proceedings of the 6th KES international conference on Agent and Multi-Agent Systems: technologies and applications
Efficient Search Methods for Statistical Dependency Rules
Fundamenta Informaticae - Machine Learning in Bioinformatics
Adaptive Study Design Through Semantic Association Rule Analysis
International Journal of Software Science and Computational Intelligence
Discovering diverse association rules from multidimensional schema
Expert Systems with Applications: An International Journal
TSum: fast, principled table summarization
Proceedings of the Seventh International Workshop on Data Mining for Online Advertising
Editorial: Parameter-free classification in multi-class imbalanced data sets
Data & Knowledge Engineering
Behavior-based clustering and analysis of interestingness measures for association rule mining
Data Mining and Knowledge Discovery
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In many applications, association rules will only be interesting if they represent non-trivial correlations between all constituent items. Numerous techniques have been developed that seek to avoid false discoveries. However, while all provide useful solutions to aspects of this problem, none provides a generic solution that is both flexible enough to accommodate varying definitions of true and false discoveries and powerful enough to provide strict control over the risk of false discoveries. This paper presents generic techniques that allow definitions of true and false discoveries to be specified in terms of arbitrary statistical hypothesis tests and which provide strict control over the experiment wise risk of false discoveries.