Unification of quantified terms
Proc. of a workshop on Graph reduction
Using integrity constraints to provide intensional answers to relational queries
VLDB '89 Proceedings of the 15th international conference on Very large data bases
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Constraints for semistructured data and XML
ACM SIGMOD Record
On XML integrity constraints in the presence of DTDs
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A Calculus of Communicating Systems
A Calculus of Communicating Systems
Operational and abstract semantics of the query language G-Log
Theoretical Computer Science
Discovering approximate keys in XML data
Proceedings of the eleventh international conference on Information and knowledge management
Designing Functional Dependencies for XML
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
DBPL '01 Revised Papers from the 8th International Workshop on Database Programming Languages
Design and implementation of a graphical interface to XQuery
Proceedings of the 2003 ACM symposium on Applied computing
A normal form for XML documents
ACM Transactions on Database Systems (TODS)
An efficient algorithm for computing bisimulation equivalence
Theoretical Computer Science
Answering XML queries by means of data summaries
ACM Transactions on Information Systems (TOIS)
TOD: Temporal outlier detection by using quasi-functional temporal dependencies
Data & Knowledge Engineering
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XML is a rather verbose representation of semistructured data, which may require huge amounts of storage space We propose several summarized representations of XML data, which can both provide succinct information and be directly queried These representations are based on the extraction of association rules from XML datasets.