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Titlebook: New Horizons in Information Management; 20th British Nationa Anne James,Muhammad Younas,Brian Lings Conference proceedings 2003 Springer-Ve

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Multivalued Dependencies in XML data and at the same time are the foundation for database design. Since XML documents are closely coupled with relational databases in that XML documents are typically exported and imported from relational databases, the study of FDs and MVDs in XML is of fundamental significance in XML research. I
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Processing XML Path Expressions Using XML Materialised Viewsepeated reuse or for efficient processing of the relevant queries. Since the emergence of XML as a standard for data exchange on the web, today’s web applications are to retrieve information from the remote XML sources across the network, and thus, it is desirable to maintain the XML query results i
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WebVigiL: User Profile-Based Change Detection for HTML/XML Documentstion of selective information. Currently, users have to poll the pages manually to check for changes of interest, resulting in waste of resources and associated high cost. Hence, an efficient and effective change detection and notification mechanism is needed. WebVigiL, a general-purpose, active cap
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Aggregate Table-Driven Querying via Navigation Ontologies in Distributed Statistical Databaseslly specifying aggregate table queries and table layout in a single process, and providing users with an ontology guide in composing complex analysis tasks as queries. We present the role of the fundamental concept of ontology in the context of the content representation of distributed databases wit
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External Ontologies in the Semantic Webed through ontologies. The use of ontologies in real-world applications such as community portals has shown that a new level of data independence is required for ontology-based applications for example to allow the customization of information towards the needs of other agents. This requires control
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Quantization Techniques for Similarity Search in High-Dimensional Data Spacesased on the idea of vector approximation via quantization, have been shown to be the most effective. The VA-file was the first technique to use vector approximation. The IQ-tree and the A-tree are subsequent techniques that impose a directory structure over the quantized VA-file representation. The
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Performance Evaluation and Analysis of K-Way Join Variants for Association Rule Mining directly on data stored in (relational) database management systems (RDBMSs). The type of underlying database can vary and should not be a constraint on the mining process. Irrespective of the database in which data is stored, we should be able to mine the data. Several SQL92 approaches (such as K-
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