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Proceedings of the Thirtieth International Conference on Very Large Data Bases : Toronto, Canada, August 31-September 3, 2004 /

Proceedings of the 30th Annual International Conference on Very Large Data Bases held in Toronto, Canada on August 31 - September 3 2004. Organized by the VLDB Endowment, VLDB is the premier international conference on database technology.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: International Conference on Very Large Data Bases Toronto, Ont.
Otros Autores: Nascimento, Mario A.
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: St. Louis, Mo. : Morgan Kaufmann Publishers, 2004.
©2004
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; Proceedings of the Thirtieth International Conference on Very Large Data Bases; Copyrighy Page; CONTENTS; PART I: KEYNOTES; Chapter 1. Databases in a Wireless World; Chapter 2. Structures, Semantics and Statistics; PART II: TEN YEAR BEST PAPER AWARD; Chapter 3. Whither Data Mining?; PART III: RESEARCH SESSIONS; Section 1: Research Session 1: Compression & Indexing; Chapter 4. Compressing Large Boolean Matrices using Reordering Techniques; Chapter 5. On the Performance of Bitmap Indices for High Cardinality Attributes; Chapter 6. Practical Suffix Tree Construction
  • Section 2: Research Session 2: XML Views and SchemasChapter 7. Answering XPath Queries over Networks by Sending Minimal Views; Chapter 8. A Framework for Using Materialized XPath Views in XML Query Processing; Chapter 9. Schema-Free XQuery; Section 3: Research Session 3: Controlling Access; Chapter 10. Client-Based Access Control Management for XML Documents; Chapter 11. Secure XML Publishing without Information Leakage in the Presence of Data inference; Chapter 12. Limiting Disclosure in Hippocratic Databases; Section 4: Research Session 4: XML (I)
  • Chapter 13. On Testing Satisfiability of Tree Pattern QueriesChapter 14. Containment of Nested XML Queries; Chapter 15. Efficient XML-to-SQL Query Translation: Where to Add the Intelligence?; Chapter 16. Taming XPath Queries by Minimizing Wildcard Steps; Chapter 17. The NEXT Framework for Logical XQuery Optimization; Section 5: Research Session 5: Stream Mining; Chapter 18. Detecting Change in Data Streams; Chapter 19. Stochastic Consistency, and Scalable Pull-Based Caching for Erratic Data Stream Sources
  • Chapter 20. False Positive or False Negative: Mining Frequent Itemsets from High Speed Transactional Data StreamsSection 6: Research Session 6: XML (II); Chapter 21. Indexing Temporal XML Documents; Chapter 22. Schema-based Scheduling of Event Processors and Buffer Minimization for Queries on Structured Data Streams; Chapter 23. Bloom Histogram: Path Selectivity Estimation for XML Data with Updates; Section 7: Research Session 7: XML and Relations; Chapter 24. XQuery on SQL Hosts; Chapter 25. ROX: Relational Over XML
  • Chapter 26. From XML View Updates to Relational View Updates: Old Solutions to a New ProblemSection 8: Research Session 8: Stream Mining (II); Chapter 27. XWAVE: Optimal and Approximate Extended Wavelets for Streaming Data; Chapter 28. REHIST: Relative Error Histogram Construction Algorithms; Chapter 29. Distributed Set-Expression Cardinality Estimation; Section 9: Research Session 9: Stream Query Processing; Chapter 30. Memory-Limited Execution of Windowed Stream Joins; Chapter 31. Resource Sharing in Continuous Sliding-Window Aggregates