Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
On kernel rules and prime implicants
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Finding interesting rules from large sets of discovered association rules
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Learning decision lists using homogeneous rules
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
An effective hash-based algorithm for mining association rules
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Dynamic itemset counting and implication rules for market basket data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Fast discovery of association rules
Advances in knowledge discovery and data mining
Exploratory mining and pruning optimizations of constrained associations rules
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Efficiently mining long patterns from databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Mining the most interesting rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
An Information Theoretic Approach to Rule Induction from Databases
IEEE Transactions on Knowledge and Data Engineering
Abstract-Driven Pattern Discovery in Databases
IEEE Transactions on Knowledge and Data Engineering
Pincer Search: A New Algorithm for Discovering the Maximum Frequent Set
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Discovering All Most Specific Sentences by Randomized Algorithms
ICDT '97 Proceedings of the 6th International Conference on Database Theory
An Efficient Algorithm for Mining Association Rules in Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
SPRINT: A Scalable Parallel Classifier for Data Mining
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
OPUS: an efficient admissible algorithm for unordered search
Journal of Artificial Intelligence Research
Pruning and summarizing the discovered associations
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient search for association rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Interesting Fuzzy Association Rules in Quantitative Databases
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Association Rules for Expressing Gradual Dependencies
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Further Pruning for Efficient Association Rule Discovery
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Local and Global Methods in Data Mining: Basic Techniques and Open Problems
ICALP '02 Proceedings of the 29th International Colloquium on Automata, Languages and Programming
DualMiner: a dual-pruning algorithm for itemsets with constraints
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Scoring and ranking the data using association rules
Data mining, rough sets and granular computing
Mining unexpected rules by pushing user dynamics
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
A Framework for Evaluating Knowledge-Based Interestingness of Association Rules
Fuzzy Optimization and Decision Making
Hypergraph Models and Algorithms for Data-Pattern-Based Clustering
Data Mining and Knowledge Discovery
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Generating a Condensed Representation for Association Rules
Journal of Intelligent Information Systems
Using association rules to make rule-based classifiers robust
ADC '05 Proceedings of the 16th Australasian database conference - Volume 39
IEEE Transactions on Knowledge and Data Engineering
TAPER: A Two-Step Approach for All-Strong-Pairs Correlation Query in Large Databases
IEEE Transactions on Knowledge and Data Engineering
Frequency-based views to pattern collections
Discrete Applied Mathematics - Special issue: Discrete mathematics & data mining II (DM & DM II)
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Finding highly correlated pairs efficiently with powerful pruning
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Finding association rules that trade support optimally against confidence
Intelligent Data Analysis
Using metarules to organize and group discovered association rules
Data Mining and Knowledge Discovery
Discovering Significant Patterns
Machine Learning
Evaluation of rule interestingness measures in medical knowledge discovery in databases
Artificial Intelligence in Medicine
Generating concise association rules
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Relative Linkage Disequilibrium: A New Measure for Association Rules
ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
IDEAS '08 Proceedings of the 2008 international symposium on Database engineering & applications
Finding sporadic rules in the diagnosis of the Erythemato-Squamous diseases
Intelligent Data Analysis
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
ILP-based concept discovery in multi-relational data mining
Expert Systems with Applications: An International Journal
Efficient algorithms for mining constrained frequent patterns from uncertain data
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data
Mining uncertain data for constrained frequent sets
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
RMAIN: Association rules maintenance without reruns through data
Information Sciences: an International Journal
ACM Transactions on Knowledge Discovery from Data (TKDD)
Exploration of SWRL Rule Bases through Visualization, Paraphrasing, and Categorization of Rules
RuleML '09 Proceedings of the 2009 International Symposium on Rule Interchange and Applications
Interestingness of Association Rules Using Symmetrical Tau and Logistic Regression
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Frequency-based views to pattern collections
Discrete Applied Mathematics - Special issue: Discrete mathematics & data mining II (DM & DM II)
Discovering association rules in incomplete transactional databases
Transactions on rough sets VI
Mining uncertain data for frequent itemsets that satisfy aggregate constraints
Proceedings of the 2010 ACM Symposium on Applied Computing
MCFPTree: An FP-tree-based algorithm for multi-constraint patterns discovery
International Journal of Business Intelligence and Data Mining
uCFS2: an enhanced system that mines uncertain data for constrained frequent sets
Proceedings of the Fourteenth International Database Engineering & Applications Symposium
A statistical interestingness measures for XML based association rules
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Subgroup discovery for election analysis: a case study in descriptive data mining
DS'10 Proceedings of the 13th international conference on Discovery science
Fuzzy association rule mining for community crime pattern discovery
ACM SIGKDD Workshop on Intelligence and Security Informatics
Interestingness measures for association rules based on statistical validity
Knowledge-Based Systems
Reliable representations for association rules
Data & Knowledge Engineering
Itemset mining: A constraint programming perspective
Artificial Intelligence
Mining association rules for label ranking
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Real-valued all-dimensions search: low-overhead rapid searching over subsets of attributes
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Mining interesting imperfectly sporadic rules
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
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
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Local pattern discovery in Array-CGH data
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
Pruning derivative partial rules during impact rule discovery
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
An experiment with association rules and classification: post-bagging and conviction
DS'05 Proceedings of the 8th international conference on Discovery Science
Generalized association rule mining with constraints
Information Sciences: an International Journal
A constrained frequent pattern mining system for handling aggregate constraints
Proceedings of the 16th International Database Engineering & Applications Sysmposium
Interestingness measures for fixed consequent rules
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Information Sciences: an International Journal
Mining frequent itemsets with dualistic constraints
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
BruteSuppression: a size reduction method for Apriori rule sets
Journal of Intelligent Information Systems
From Frequent Features to Frequent Social Links
International Journal of Information System Modeling and Design
An efficient method for mining frequent itemsets with double constraints
Engineering Applications of Artificial Intelligence
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Constraint-based rule miners find all rules in a given data-set meeting user-specified constraints such as minimum support and confidence. We describe a new algorithm that directly exploits all user-specified constraints including minimum support, minimum confidence, and a new constraint that ensures every mined rule offers a predictive advantage over any of its simplifications. Our algorithm maintains efficiency even at low supports on data that is dense (e.g. relational tables). Previous approaches such as Apriori and its variants exploit only the minimum support constraint, and as a result are ineffective on dense data due to a combinatorial explosion of “frequent itemsets”.