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
Mining quantitative association rules in large relational tables
SIGMOD '96 Proceedings of the 1996 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
Beyond market baskets: generalizing association rules to correlations
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Using a Hash-Based Method with Transaction Trimming for Mining Association Rules
IEEE Transactions on Knowledge and Data Engineering
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Online Generation of Association Rules
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Transversing itemset lattices with statistical metric pruning
PODS '00 Proceedings of the nineteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Depth first generation of long patterns
Proceedings of the sixth 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
Effective discovery of exception class association rules
Journal of Computer Science and Technology
Mining Associations with the Collective Strength Approach
IEEE Transactions on Knowledge and Data Engineering
Finding Localized Associations in Market Basket Data
IEEE Transactions on Knowledge and Data Engineering
Synthesizing High-Frequency Rules from Different Data Sources
IEEE Transactions on Knowledge and Data Engineering
An Effective Approach to Mining Exeption Class Association Rules
WAIM '00 Proceedings of the First International Conference on Web-Age Information Management
Discovering Sequential Patterns from Non-Uniform Databases
WAIM '00 Proceedings of the First International Conference on Web-Age Information Management
Mining Frequent Itemsets Using Support Constraints
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Data Mining Techniques for Associations, Clustering and Classification
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
User-Defined Association Mining
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
A Confidence-Lift Support Specification for Interesting Associations Mining
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Data Mining and Personalization Technologies
DASFAA '99 Proceedings of the Sixth International Conference on Database Systems for Advanced Applications
Answering the Most Correlated N Association Rules Efficiently
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Selecting the right interestingness measure for association patterns
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Pushing Support Constraints Into Association Rules Mining
IEEE Transactions on Knowledge and Data Engineering
ART: A Hybrid Classification Model
Machine Learning
Selecting the right objective measure for association analysis
Information Systems - Knowledge discovery and data mining (KDD 2002)
Efficient mining of both positive and negative association rules
ACM Transactions on Information Systems (TOIS)
A fuzzy logic based method to acquire user threshold of minimum-support for mining association rules
Information Sciences—Informatics and Computer Science: An International Journal
Automated support specification for efficient mining of interesting association rules
Journal of Information Science
Intelligent Data Analysis
Automatic discovery of locally frequent itemsets in the presence of highly frequent itemsets
Intelligent Data Analysis
Finding association rules that trade support optimally against confidence
Intelligent Data Analysis
Mining statistically important equivalence classes and delta-discriminative emerging patterns
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluation of rule interestingness measures in medical knowledge discovery in databases
Artificial Intelligence in Medicine
New probabilistic interest measures for association rules
Intelligent Data Analysis
Removing biases in unsupervised learning of sequential patterns
Intelligent Data Analysis
Maximum entropy based significance of itemsets
Knowledge and Information Systems
Capturing association among items in a database
Data & Knowledge Engineering
An efficient rigorous approach for identifying statistically significant frequent itemsets
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Measuring influence of an item in a database over time
Pattern Recognition Letters
Engineering Applications of Artificial Intelligence
A study on interestingness measures for associative classifiers
Proceedings of the 2010 ACM Symposium on Applied Computing
Mining a complete set of both positive and negative association rules from large databases
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Association rule mining: models and algorithms
Association rule mining: models and algorithms
Retail marketing segmentation and customer profiling for forecasting sales
ICNVS'10 Proceedings of the 12th international conference on Networking, VLSI and signal processing
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Using background knowledge to rank itemsets
Data Mining and Knowledge Discovery
Discovering itemset interactions
ACSC '09 Proceedings of the Thirty-Second Australasian Conference on Computer Science - Volume 91
Mining significant least association rules using fast SLP-growth algorithm
AST/UCMA/ISA/ACN'10 Proceedings of the 2010 international conference on Advances in computer science and information technology
A statistical interestingness measures for XML based association rules
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Interestingness measures for association rules based on statistical validity
Knowledge-Based Systems
Mining interestingness measures for string pattern mining
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
A log-linear approach to mining significant graph-relational patterns
Data & Knowledge Engineering
Tell me what i need to know: succinctly summarizing data with itemsets
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining interestingness measures for string pattern mining
Knowledge-Based Systems
Using reliable short rules to avoid unnecessary tests in decision trees
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
An algorithm for mining implicit itemset pairs based on differences of correlations
DS'05 Proceedings of the 8th international conference on Discovery Science
An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets
Journal of the ACM (JACM)
Efficient Search Methods for Statistical Dependency Rules
Fundamenta Informaticae - Machine Learning in Bioinformatics
A Proof System for Dependencies for Information Relations
Fundamenta Informaticae
Summarizing data succinctly with the most informative itemsets
ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on the Best of SIGKDD 2011
Optimonotone Measures For Optimal Rule Discovery
Computational Intelligence
A stock market portfolio recommender system based on association rule mining
Applied Soft Computing
Clustering local frequency items in multiple databases
Information Sciences: an International Journal
Misleading Generalized Itemset discovery
Expert Systems with Applications: An International Journal
Behavior-based clustering and analysis of interestingness measures for association rule mining
Data Mining and Knowledge Discovery
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