Generating cooperative answers in deductive databases
Generating cooperative answers in deductive databases
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Neighborhood systems and relational databases
CSC '88 Proceedings of the 1988 ACM sixteenth annual conference on Computer science
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
A Structured Approach for Cooperative Query Answering
IEEE Transactions on Knowledge and Data Engineering
Association Rules in Semantically Rich Relations: Granular Computing Approach
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
Database Mining on Derived Attributes
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Theoretical study of granular computing
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Fundamenta Informaticae - Cognitive Informatics, Cognitive Computing, and Their Denotational Mathematical Foundations (I)
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In the relational database theory, it is assumed that the universe U to be represented is a set. The classical data mining took such assumption. In real life applications, the entities are often related. A "new" data mining theory is explored with such additional semantics.