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
Scalable Techniques for Mining Causal Structures
Data Mining and Knowledge Discovery
Rough Sets: Mathematical Foundations
Rough Sets: Mathematical Foundations
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
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
A rough set approach to mining connections from information systems
Proceedings of the 2010 ACM Symposium on Applied Computing
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 sequential pattern mining algorithm using rough set theory
International Journal of Approximate Reasoning
Dominance-based rough set model in intuitionistic fuzzy information systems
Knowledge-Based Systems
Alternative rule induction methods based on incremental object using rough set theory
Applied Soft Computing
Attribute reduction for dynamic data sets
Applied Soft Computing
Decision rule mining using classification consistency rate
Knowledge-Based Systems
Entropy measures and granularity measures for set-valued information systems
Information Sciences: an International Journal
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Abstract: In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essentially differs from finding statistical associations in a single data set because it is complicated by the different data behaviors and relationships across multiple data sets. Using rough set theory, this paper proposes 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.