Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 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 Frequent Item Sets with Convertible Constraints
Proceedings of the 17th International Conference on Data Engineering
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
Mining Generalized Association Rules
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Mining Top.K Frequent Closed Patterns without Minimum Support
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Application of Data Mining in Fault Diagnosis Based on Ontology
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
KDDML: a middleware language and system for knowledge discovery in databases
Data & Knowledge Engineering
The Description Logic Handbook
The Description Logic Handbook
Ontology-based Association Rules Retrieval using Protege Tools
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Pushing tougher constraints in frequent pattern mining
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
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The aim of this paper is to devise a new PC-algorithm (partial correlation), uPC-algorithm, for estimating a high dimensional undirected graph associated to a faithful Gaussian Graphical Model. First, we define the separability order ...