Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Rough set methods and applications
Rough set algorithms in classification problem
Rough set methods and applications
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Scalable Techniques for Mining Causal Structures
Data Mining and Knowledge Discovery
Efficient Mining of Association Rules in Distributed Databases
IEEE Transactions on Knowledge and Data Engineering
Pattern Recognition Algorithms for Data Mining: Scalability, Knowledge Discovery, and Soft Granular Computing
Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Fuzzy Databases: Modeling, Design, and Implementation
Fuzzy Databases: Modeling, Design, and Implementation
Automatic identification of quasi-experimental designs for discovering causal knowledge
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Distinguishing causal and acausal temporal relations
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Beyond prediction: directions for probabilistic and relational learning
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Studies on rough sets in multiple tables
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
A clustering method for spatio-temporal data and its application to soccer game records
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
A rough set approach to multiple dataset analysis
Applied Soft Computing
A sequential pattern mining algorithm using rough set theory
International Journal of Approximate Reasoning
Parallel rough set based knowledge acquisition using MapReduce from big data
Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
International Journal of Approximate Reasoning
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Mining data changes and connections from information systems (or databases) is made difficult by the different data behaviors and relationships across multiple data sets. When making a decision, such a dynamic and integrated knowledge base can be used to set useful rules (e.g., causality) that differ from the statistical associations in a single resource. In this paper, using techniques based on the rough set theory, we propose a change and connection mining algorithm for discovering a time delay between the quantitative changes in the data of two temporal information systems and for generating the association rules of changes from their connected decision table. We establish evaluation criteria for the connectedness of two temporal information systems with varying time delays by calculating weight-based accuracy and coverage of the association rules of changes, adjusted by a fuzzy membership function.