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Advances in databases and information systems : 7th East European conference, ADBIS 2003, Dresden, Germany, September 3-6, 2003 : proceedings

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Author: ADBIS 2003 (2003 : Dresden, Germany), Kalinichenko, L. A. (Leonid Andreevich)

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Added Date: 2015-12-30

Language: eng

Subjects: Database management, Information technology

Publishers: Berlin ; New York : Springer

Collections: journals contributions, journals

ISBN Number: 3540200479

Pages Count: 300

PPI Count: 300

PDF Count: 1

Total Size: 231.50 MB

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Advances in Databases and Information Systems: 7th East European Conference, ADBIS 2003, Dresden, Germany, September 3-6, 2003. Proceedings
Author: Leonid Kalinichenko, Rainer Manthey, Bernhard Thalheim, Uwe Wloka
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-20047-5
DOI: 10.1007/b12032

Table of Contents:

  • Semantic Web Services: The Future of Integration!
  • Bioinformatics Databases: State of the Art and Research Perspectives
  • Multirepresentation in Ontologies
  • Extension of Compositional Information Systems Development for the Web Services Platform
  • Domain Based Identification and Modelling of Business Component Applications
  • An Optimal Divide-Conquer Algorithm for 2D Skyline Queries
  • Hierarchical Data Cube for Range Queries and Dynamic Updates
  • Evaluation of Common Counting Method for Concurrent Data Mining Queries
  • taDOM: A Tailored Synchronization Concept with Tunable Lock Granularity for the DOM API
  • Client-Side Dynamic Preprocessing of Transactions
  • Using Common Schemas for Information Extraction from Heterogeneous Web Catalogs
  • UCYMICRA: Distributed Indexing of the Web Using Migrating Crawlers
  • Revisiting M-Tree Building Principles
  • Compressing Large Signature Trees
  • A Conceptual Graphs Approach for Business Rules Modeling
  • SnoopIB: Interval-Based Event Specification and Detection for Active Databases
  • Reasoning on Workflow Executions
  • Optimization of Storage Structures of Complex Types in Object-Relational Database Systems
  • Hierarchical Bitmap Index: An Efficient and Scalable Indexing Technique for Set-Valued Attributes
  • Efficient Monitoring of Patterns in Data Mining Environments

Includes bibliographical references and index

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