Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
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
Beyond market baskets: generalizing association rules to correlations
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Scalable parallel data mining for association rules
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Exploratory mining and pruning optimizations of constrained associations rules
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Online association rule mining
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Optimization of constrained frequent set queries with 2-variable constraints
SIGMOD '99 Proceedings of the 1999 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
Mining association rules with multiple minimum supports
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Generating non-redundant association rules
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Depth first generation of long patterns
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Can we push more constraints into frequent pattern mining?
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Parallel Mining of Association Rules
IEEE Transactions on Knowledge and Data Engineering
Online Generation of Association Rules
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Set-Oriented Mining for Association Rules in Relational Databases
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Mining for Strong Negative Associations in a Large Database of Customer Transactions
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
On the Discovery of Interesting Patterns in Association Rules
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Discovery of Multiple-Level Association Rules from Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
An Efficient Algorithm for Mining Association Rules in Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
CoMine: Efficient Mining of Correlated Patterns
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Mining complex matchings across Web query interfaces
Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery
Discovering complex matchings across web query interfaces: a correlation mining approach
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Generalizing the notion of support
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining concept associations for knowledge discovery in large textual databases
Proceedings of the 2005 ACM symposium on Applied computing
A relatedness-based data-driven approach to determination of interestingness of association rules
Proceedings of the 2005 ACM symposium on Applied computing
Summarizing itemset patterns: a profile-based approach
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
IEEE Transactions on Knowledge and Data Engineering
Automatic complex schema matching across Web query interfaces: A correlation mining approach
ACM Transactions on Database Systems (TODS)
Mining quantitative correlated patterns using an information-theoretic approach
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Fuzzy taxonomy, quantitative database and mining generalized association rules
Intelligent Data Analysis
Mining top-k strongly correlated item pairs without minimum correlation threshold
International Journal of Knowledge-based and Intelligent Engineering Systems
Efficient mining of weighted interesting patterns with a strong weight and/or support affinity
Information Sciences: an International Journal
Correlation search in graph databases
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
On discovery of soft associations with "most" fuzzy quantifier for item promotion applications
Information Sciences: an International Journal
GAM: a guidance enabled association mining environment
International Journal of Business Intelligence and Data Mining
Correlated pattern mining in quantitative databases
ACM Transactions on Database Systems (TODS)
A survey on algorithms for mining frequent itemsets over data streams
Knowledge and Information Systems
Association Mining in Large Databases: A Re-examination of Its Measures
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
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
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Maximum entropy based significance of itemsets
Knowledge and Information Systems
Mining non-redundant high order correlations in binary data
Proceedings of the VLDB Endowment
Capturing association among items in a database
Data & Knowledge Engineering
An efficient mining of weighted frequent patterns with length decreasing support constraints
Knowledge-Based Systems
Top-K Correlation Sub-graph Search in Graph Databases
DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
An Improved Algorithm for Mining Non-Redundant Interacting Feature Subsets
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
On Optimal Rule Mining: A Framework and a Necessary and Sufficient Condition of Antimonotonicity
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
On pushing weight constraints deeply into frequent itemset mining
Intelligent Data Analysis
Association rules mining including weak-support modes using novel measures
WSEAS Transactions on Computers
Mining frequent arrangements of temporal intervals
Knowledge and Information Systems
Autonomous classifiers with understandable rule using multi-objective genetic algorithms
Expert Systems with Applications: An International Journal
Interestingness of Association Rules Using Symmetrical Tau and Logistic Regression
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Tight correlated item sets and their efficient discovery
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Re-examination of interestingness measures in pattern mining: a unified framework
Data Mining and Knowledge Discovery
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
Two measures of objective novelty in association rule mining
PAKDD'09 Proceedings of the 13th Pacific-Asia international conference on Knowledge discovery and data mining: new frontiers in applied data mining
Scaling up top-K cosine similarity search
Data & Knowledge Engineering
DS'10 Proceedings of the 13th international conference on Discovery science
Mining disjunctive consequent association rules
Applied Soft Computing
Generalization of association rules through disjunction
Annals of Mathematics and Artificial Intelligence
Regression analysis of the number of association rules
International Journal of Automation and Computing
Interestingness measures for association rules: Combination between lattice and hash tables
Expert Systems with Applications: An International Journal
A log-linear approach to mining significant graph-relational patterns
Data & Knowledge Engineering
Contrasting correlations by an efficient double-clique condition
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
Efficient mining of top correlated patterns based on null-invariant measures
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Finding top-N chance patterns with KeyGraph®-based importance
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
Cosine interesting pattern discovery
Information Sciences: an International Journal
An efficient approach to representing and mining knowledge from Qing court medical records
Frontiers of Computer Science in China
Efficiently mining both association and correlation rules
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Summarizing frequent patterns using profiles
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
Domain-Driven actionable knowledge discovery in the real world
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
An FP-tree based approach for mining all strongly correlated item pairs
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Mining both associated and correlated patterns
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
On the computation of maximal-correlated cuboids cells
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Efficiently mining maximal frequent mutually associated patterns
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Efficiently mining mutually and positively correlated patterns
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Expert Systems with Applications: An International Journal
Discovering interesting association rules by clustering
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Efficient computation of measurements of correlated patterns in uncertain data
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
An efficient mining algorithm for maximal weighted frequent patterns in transactional databases
Knowledge-Based Systems
New exact concise representation of rare correlated patterns: application to intrusion detection
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
A consensus method for prioritising drug-associated target proteins
International Journal of Data Mining and Bioinformatics
Properties of rule interestingness measures and alternative approaches to normalization of measures
Information Sciences: an International Journal
Top-N minimization approach for indicative correlation change mining
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Finding top-n colossal patterns based on clique search with dynamic update of graph
ICFCA'12 Proceedings of the 10th international conference on Formal Concept Analysis
Mining event logs to support workflow resource allocation
Knowledge-Based Systems
Efficient mining of correlated sequential patterns based on null hypothesis
Proceedings of the 2012 international workshop on Web-scale knowledge representation, retrieval and reasoning
Optimonotone Measures For Optimal Rule Discovery
Computational Intelligence
A stock market portfolio recommender system based on association rule mining
Applied Soft Computing
Interestingness measures for classification based on association rules
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
International Journal of Data Warehousing and Mining
Recommending QA documents for communities of question-answering websites
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
Confirmation measures of association rule interestingness
Knowledge-Based Systems
Mining associated sensor patterns for data stream of wireless sensor networks
Proceedings of the 8th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
A filter-and-refine approach to mine spatiotemporal co-occurrences
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
An improved neighborhood-restricted association rule-based recommender system
ADC '13 Proceedings of the Twenty-Fourth Australasian Database Conference - Volume 137
Pattern-based solution risk model for strategic IT outsourcing
ICDM'13 Proceedings of the 13th international conference on Advances in Data Mining: applications and theoretical aspects
Shifting concepts to their associative concepts via bridges
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
Mining frequent correlated graphs with a new measure
Expert Systems with Applications: An International Journal
Contrasting temporal trend discovery for large healthcare databases
Computer Methods and Programs in Biomedicine
QA document recommendations for communities of question-answering websites
Knowledge-Based Systems
YmalDB: exploring relational databases via result-driven recommendations
The VLDB Journal — The International Journal on Very Large Data Bases
Scaling up cosine interesting pattern discovery: A depth-first method
Information Sciences: an International Journal
Discovering diverse-frequent patterns in transactional databases
Proceedings of the 17th International Conference on Management of Data
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Data mining is defined as the process of discovering significant and potentially useful patterns in large volumes of data. Discovering associations between items in a large database is one such data mining activity. In finding associations, support is used as an indicator as to whether an association is interesting. In this paper, we discuss three alternative interest measures for associations: any-confidence, all-confidence, and bond. We prove that the important downward closure property applies to both all-confidence and bond. We show that downward closure does not hold for any-confidence. We also prove that, if associations have a minimum all-confidence or minimum bond, then those associations will have a given lower bound on their minimum support and the rules produced from those associations will have a given lower bound on their minimum confidence as well. However, associations that have that minimum support (and likewise their rules that have minimum confidence) may not satisfy the minimum all-confidence or minimum bond constraint. We describe the algorithms that efficiently findall associations with a minimum all-confidence or minimum bond and present some experimental results.