Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
The power of sampling in knowledge discovery
PODS '94 Proceedings of the thirteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Fast sequential and parallel algorithms for association rule mining: a comparison
Fast sequential and parallel algorithms for association rule mining: a comparison
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
Efficiently mining long patterns from databases
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Efficient mining of association rules using closed itemset lattices
Information Systems
Pruning and summarizing the discovered associations
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining the most interesting rules
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Interestingness via what is not interesting
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Turbo-charging vertical mining of large databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Towards data mining benchmarking: a test bed for performance study of frequent pattern mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Small is beautiful: discovering the minimal set of unexpected patterns
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
Algorithms for association rule mining — a general survey and comparison
ACM SIGKDD Explorations Newsletter
SPADE: an efficient algorithm for mining frequent sequences
Machine Learning
A condensed representation to find frequent patterns
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
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ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Mining frequent patterns with counting inference
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
An efficient approach to discovering knowledge from large databases
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
What's interesting about Cricket?: on thresholds and anticipation in discovered rules
ACM SIGKDD Explorations Newsletter
Formal Concept Analysis: Mathematical Foundations
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Free-Sets: A Condensed Representation of Boolean Data for the Approximation of Frequency Queries
Data Mining and Knowledge Discovery
Parallel and Distributed Association Mining: A Survey
IEEE Concurrency
What Makes Patterns Interesting in Knowledge Discovery Systems
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
Scalable Algorithms for Association Mining
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
Mining Association Rules: Anti-Skew Algorithms
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Discovering All Most Specific Sentences by Randomized Algorithms
ICDT '97 Proceedings of the 6th International Conference on Database Theory
Mining Frequent Item Sets with Convertible Constraints
Proceedings of the 17th International Conference on Data Engineering
MAFIA: A Maximal Frequent Itemset Algorithm for Transactional Databases
Proceedings of the 17th International Conference on Data Engineering
Overcoming Limitations of Sampling for Aggregation Queries
Proceedings of the 17th International Conference on Data Engineering
Efficiently Mining Maximal Frequent Itemsets
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Heuristic Measures of Interestingness
PKDD '99 Proceedings of the Third European Conference on Principles of 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
Distinct Sampling for Highly-Accurate Answers to Distinct Values Queries and Event Reports
Proceedings of the 27th 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
An Efficient Algorithm for Mining Association Rules in Large Databases
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Sampling Large Databases for Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Interestingness of Discovered Association Rules in Terms of Neighborhood-Based Unexpectedness
PAKDD '98 Proceedings of the Second Pacific-Asia Conference on Research and Development in Knowledge Discovery and Data Mining
Top Down FP-Growth for Association Rule Mining
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Concise Representations of Association Rules
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
Mining frequent item sets by opportunistic projection
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A new two-phase sampling based algorithm for discovering association rules
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
CT-ITL: efficient frequent item set mining using a compressed prefix tree with pattern growth
ADC '03 Proceedings of the 14th Australasian database conference - Volume 17
Generating an informative cover for association rules
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Data Organization and Access for Efficient Data Mining
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
New Algorithms for Fast Discovery of Association Rules
New Algorithms for Fast Discovery of Association Rules
CLOSET+: searching for the best strategies for mining frequent closed itemsets
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Mining Non-Redundant Association Rules
Data Mining and Knowledge Discovery
Marking time in sequence mining
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
Engineering contextual knowledge for autonomic pervasive services
Information and Software Technology
SemGrAM: integrating semantic graphs into association rule mining
AusDM '07 Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70
An efficient technique for incremental updating of association rules
International Journal of Hybrid Intelligent Systems
Towards active conceptual modelling for sudden events
ER '07 Tutorials, posters, panels and industrial contributions at the 26th international conference on Conceptual modeling - Volume 83
Detecting anomalous longitudinal associations through higher order mining
AIDM '07 Proceedings of the 2nd international workshop on Integrating artificial intelligence and data mining - Volume 84
Constructing visual phrases for effective and efficient object-based image retrieval
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
ACM SIGKDD Explorations Newsletter
Engineering Contextual Information for Pervasive Multiagent Systems
Engineering Environment-Mediated Multi-Agent Systems
Minimum-Size Bases of Association Rules
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Approaches to analyse corporate tags for business intelligence purposes
OBI '08 Proceedings of the first international workshop on Ontology-supported business intelligence
Efficient techniques for document sanitization
Proceedings of the 17th ACM conference on Information and knowledge management
Deduction Schemes for Association Rules
DS '08 Proceedings of the 11th International Conference on Discovery Science
Engineering of Software-Intensive Systems: State of the Art and Research Challenges
Software-Intensive Systems and New Computing Paradigms
Towards "Kiga-kiku" Services on Speculative Computation
PAKM '08 Proceedings of the 7th International Conference on Practical Aspects of Knowledge Management
Analysis of sampling techniques for association rule mining
Proceedings of the 12th International Conference on Database Theory
Association Analysis Techniques for Bioinformatics Problems
BICoB '09 Proceedings of the 1st International Conference on Bioinformatics and Computational Biology
A new sampling technique for association rule mining
Journal of Information Science
An association analysis approach to biclustering
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Rough Sets and Functional Dependencies in Data: Foundations of Association Reducts
Transactions on Computational Science V
Data & Knowledge Engineering
Power-law based estimation of set similarity join size
Proceedings of the VLDB Endowment
RSFDGrC '09 Proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Identifying web navigation behaviour and patterns automatically from clickstream data
International Journal of Web Engineering and Technology
Mining associations for interface design
RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
A fuzzy approach for studying combinatorial regulatory actions of transcription factors in yeast
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Succinct system of minimal generators: a thorough study, limitations and new definitions
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
Generic association rule bases: are they so succinct?
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
Postponing schema definition: low instance-to-entity ratio (LItER) modelling
Active conceptual modeling of learning
BISC: A bitmap itemset support counting approach for efficient frequent itemset mining
ACM Transactions on Knowledge Discovery from Data (TKDD)
Discovering itemset interactions
ACSC '09 Proceedings of the Thirty-Second Australasian Conference on Computer Science - Volume 91
Rule generation in Lipski's incomplete information databases
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
A data mining approach to identify obligation norms in agent societies
ADMI'10 Proceedings of the 6th international conference on Agents and data mining interaction
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
Mining Medical Administrative Data --The PKB Suite
Proceedings of the 2010 conference on Data Mining for Business Applications
Association-rules-based recommender system for personalization in adaptive web-based applications
ICWE'10 Proceedings of the 10th international conference on Current trends in web engineering
Generalization of association rules through disjunction
Annals of Mathematics and Artificial Intelligence
Stable rule extraction and decision making in rough non-deterministic information analysis
International Journal of Hybrid Intelligent Systems - Rough and Fuzzy Methods for Data Mining
RM-Tool: A framework for discovering and evaluating association rules
Advances in Engineering Software
Analytics-driven asset management
IBM Journal of Research and Development
A new approach for association rule mining and bi-clustering using formal concept analysis
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
A distributed hebb neural network for network anomaly detection
ISPA'07 Proceedings of the 5th international conference on Parallel and Distributed Processing and Applications
Mining high utility itemsets without candidate generation
Proceedings of the 21st ACM international conference on Information and knowledge management
Information Sciences: an International Journal
Mining attribute association in query predicates for access path generation
Proceedings of the 2012 ACM Research in Applied Computation Symposium
A fast algorithm for frequent itemset mining using Patricia* structures
DaWaK'12 Proceedings of the 14th international conference on Data Warehousing and Knowledge Discovery
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Mining complex feature correlations from software product line configurations
Proceedings of the Seventh International Workshop on Variability Modelling of Software-intensive Systems
Sequential pattern mining -- approaches and algorithms
ACM Computing Surveys (CSUR)
Weighted Association Rule Mining for Video Semantic Detection
International Journal of Multimedia Data Engineering & Management
Computing n-gram statistics in MapReduce
Proceedings of the 16th International Conference on Extending Database Technology
Mining frequent itemsets over tuple-evolving data streams
Proceedings of the 28th Annual ACM Symposium on Applied Computing
A new collaborative filtering approach for increasing the aggregate diversity of recommender systems
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Index selection: a query pattern mining based approach
Proceedings of the 2013 Research in Adaptive and Convergent Systems
Key roles of closed sets and minimal generators in concise representations of frequent patterns
Intelligent Data Analysis
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The task of finding correlations between items in a dataset, association mining, has received considerable attention over the last decade. This article presents a survey of association mining fundamentals, detailing the evolution of association mining algorithms from the seminal to the state-of-the-art. This survey focuses on the fundamental principles of association mining, that is, itemset identification, rule generation, and their generic optimizations.