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
An effective hash-based algorithm for mining association rules
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Mining quantitative association rules in large relational tables
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Data mining using two-dimensional optimized association rules: scheme, algorithms, and visualization
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
PODS '96 Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Mining optimized association rules for numeric attributes
PODS '96 Proceedings of the fifteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
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
Association rules over interval data
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Designing Templates for Mining Association Rules
Journal of Intelligent Information Systems
Query flocks: a generalization of association-rule mining
SIGMOD '98 Proceedings of the 1998 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
Mining inter-transaction associations with templates
Proceedings of the eighth international conference on Information and knowledge management
Efficient Mining of Association Rules in Distributed Databases
IEEE Transactions on Knowledge and Data Engineering
Parallel Mining of Association Rules
IEEE Transactions on Knowledge and Data Engineering
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Scalable Techniques for Mining Causal Structures
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
On the Discovery of Interesting Patterns in Association Rules
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Computing Iceberg Queries Efficiently
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
Sampling Large Databases for Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
A New SQL-like Operator for Mining Association Rules
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Data mining for path traversal patterns in a web environment
ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
Scalable frequent-pattern mining methods: an overview
Tutorial notes of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Mining Inter-transactional Association Rules: Generalization and Empirical Evaluation
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
A template model for multidimensional inter-transactional association rules
The VLDB Journal — The International Journal on Very Large Data Bases
A hybrid negotiation strategy mechanism in an automated negotiation system
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
Knowledge discovery applied to material acquisitions for libraries
Information Processing and Management: an International Journal
Information Sciences—Informatics and Computer Science: An International Journal
Social Network Discovery by Mining Spatio-Temporal Events
Computational & Mathematical Organization Theory
Market basket analysis in a multiple store environment
Decision Support Systems
Mining rank-correlated sets of numerical attributes
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Event sequence mining to develop profiles for computer forensic investigation purposes
ACSW Frontiers '06 Proceedings of the 2006 Australasian workshops on Grid computing and e-research - Volume 54
Comprehensive data warehouse exploration with qualified association-rule mining
Decision Support Systems
Recognition of emergent human behaviour in a smart home: A data mining approach
Pervasive and Mobile Computing
Dynamic Association Rule Mining using Genetic Algorithms
Intelligent Data Analysis
First-order temporal pattern mining with regular expression constraints
Data & Knowledge Engineering
An efficient algorithm for mining frequent inter-transaction patterns
Information Sciences: an International Journal
Data & Knowledge Engineering
A probabilistic model for data cube compression and query approximation
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
A novel approach for discovering retail knowledge with price information from transaction databases
Expert Systems with Applications: An International Journal
An efficient algorithm for mining closed inter-transaction itemsets
Data & Knowledge Engineering
Online mining of fuzzy multidimensional weighted association rules
Applied Intelligence
A Possibilistic Approach for Mining Uncertain Temporal Relations from Diagnostic Evolution Databases
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Propos: A Dynamic Web Tool for Managing Possibilistic and Probabilistic Temporal Constraint Networks
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Mining inter-sequence patterns
Expert Systems with Applications: An International Journal
Semantic-Based Temporal Text-Rule Mining
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
What Can Formal Concept Analysis Do for Data Warehouses?
ICFCA '09 Proceedings of the 7th International Conference on Formal Concept Analysis
Information Sciences: an International Journal
Evolutionary approach for mining association rules on dynamic databases
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
A data mining algorithm for inducing temporal constraint networks
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Incremental mining of closed inter-transaction itemsets over data stream sliding windows
Journal of Information Science
Using a projection-based approach to mine frequent inter-transaction patterns
Expert Systems with Applications: An International Journal
Effective mining of fuzzy multi-cross-level weighted association rules
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Mining association rules in temporal document collections
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Intelligent frameworks for encoding XML elements using mining algorithm
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Discovering richer temporal association rules from interval-based data
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
Prediction mining – an approach to mining association rules for prediction
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Mining expressive temporal associations from complex data
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Efficient mining of cross-transaction web usage patterns in large database
ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
An iterative method for mining frequent temporal patterns
EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
A novel incremental approach to association rules mining in inductive databases
Proceedings of the 2004 European conference on Constraint-Based Mining and Inductive Databases
ICDM'04 Proceedings of the 4th international conference on Advances in Data Mining: applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications
SART: a new association rule method for mining sequential patterns in time series of climate data
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part III
A tree structure for event-based sequence mining
Knowledge-Based Systems
Mining generalized temporal patterns based on fuzzy counting
Expert Systems with Applications: An International Journal
Constrained Cube Lattices for Multidimensional Database Mining
International Journal of Data Warehousing and Mining
Discovery of Online Shopping Patterns Across Websites
INFORMS Journal on Computing
Discovering metric temporal constraint networks on temporal databases
Artificial Intelligence in Medicine
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In this paper, we extend the scope of mining association rules from traditional single-dimensional intratransaction associations, to multidimensional intertransaction associations. Intratransaction associations are the associations among items with the same transaction, where the notion of the transaction could be the items bought by the same customer, the events happened on the same day, and so on. However, an intertransaction association describes the association relationships among different transactions, such as “if(company) A's stock goes up on day 1, B's stock will go down on day 2, but go up on day 4.” In this case, whether we treat company or day as the unit of transaction, the associated items belong to different transactions. Moreover, such an intertransaction association can be extended to associate multiple contextual properties in the same rule, so that multidimensional intertransaction associations can be defined and discovered. A two-dimensional intertransaction association rule example is “After McDonald and Burger King open branches, KFC will open a branch two months later and one mile away,” which involves two dimensions: time and space. Mining intertransaction associations poses more challenges on efficient processing than mining intratransaction associations. Interestingly, intratransaction association can be treated as a special case of intertransaction association from both a conceptual and algorithmic point of view. In this study, we introduce the notion of multidimensional intertransaction association rules, study their measurements—support and confidence—and develop algorithms for mining intertransaction associations by extension of Apriori. We overview our experience using the algorithms on both real-life and synthetic data sets. Further extensions of multidimensional intertransaction association rules and potential applications are also discussed.