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Handbook on Data Management in Information Systems

This book is the sixth of a running series of volumes dedicated to selected topics of information theory and practice. The objective of the series is to pro­ vide a reference source for problem solvers in business, industry, government, and professional researchers and gradute students. The first vo...

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Bibliographic Details
Other Authors: Blazewicz, Jacek (Editor), Kubiak, Wieslaw (Editor), Morzy, Tadeusz (Editor), Rusinkiewicz, Marek (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2003, 2003
Edition:1st ed. 2003
Series:International Handbooks on Information Systems
Subjects:
Information Storage And Retrieval
Data Structures And Information Theory
Information Storage And Retrieval Systems
It In Business
Information Theory
Data Structures (computer Science)
Business Information Services
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 1. Management of Data: State-of-the-Art and Emerging Trends
  • 1 Introduction
  • 2 Survey of the Volume
  • 2. Database Systems: from File Systems to Modern Database Systems
  • 1 Introduction — Database Concepts
  • 2 Database System Generations
  • 3 Network Database Systems
  • 4 Hierarchical Database Systems
  • 5 Relational Database Systems
  • 6 Object-Oriented Database Systems
  • 7 Federated, Mediated Database Systems and Data Warehouses
  • 8 Conclusions
  • 3. Data Modeling
  • 1 Introduction
  • 2 Early Concerns in Data Management
  • 3 Abstraction in Data Modeling
  • 4 Semantic Data Models
  • 5 Models of Reality and Perception
  • 6 Toward Cognition-Based Data Management
  • 7 A Cognitive Approach to Data Modeling
  • 8 Research Directions
  • 4. Object-Oriented Database Systems
  • 1 Introduction and Motivation
  • 2 Object-Oriented Data Modeling
  • 3 The Query Language OQL
  • 4 Physical Object Management
  • 5 Architecture of Client-Server-Systems
  • 6 Indexing
  • 9 Parallel and Distributed Techniques for Multimedia Databases
  • 10 Case Study: Cairo — Cluster Architecture for Image Retrieval and Organisation
  • 11 Conclusions
  • 8. Workflow Technology: the Support for Collaboration
  • 1 Introduction
  • 2 Application Scenario and Collaboration Requirements
  • 3 Commercial Technologies Addressing Collaboration Requirements
  • 4 Evaluation of Current Workflow Management Technology
  • 5 Research Problems, Related Work, and Directions
  • 6 Summary
  • 9. Data Warehouses
  • 1 Introduction
  • 2 Basics
  • 3 The Database of a Data Warehouse
  • 4 The Data Warehouse Concept
  • 5 Data Analysis of a Data Warehouse
  • 6 Building a Data Warehouse
  • 7 Future Research Directions
  • 8 Conclusions
  • 10. Mobile Computing
  • 1 Introduction
  • 2 Mobile Computing Infrastructure
  • 3 Mobile Computing Software Architectures and Models
  • 4 Disconnected Operation
  • 5 Weak Connectivity
  • 6 Data Delivery by Broadcast
  • 7 Mobile Computing Resources and Pointers
  • 7 Dealing with Set-Valued Attributes
  • 8 Query Optimization
  • 9 Conclusion
  • 5. High Performance Parallel Database Management Systems
  • 1 Introduction
  • 2 Partitioning Strategies
  • 3 Join Using Inter-Operator Parallelism
  • 4 ORE: a Framework for Data Migration
  • 5 Conclusions and Future Research Directions
  • 6. Advanced Database Systems
  • 1 Introduction
  • 2 Preliminaries
  • 3 Data Models and Modeling for Complex Objects
  • 4 Advanced Query Languages
  • 5 Advanced Database Server Capabilities
  • 6 Conclusions and Outlook
  • 7. Parallel and Distributed Multimedia Database Systems
  • 1 Introduction
  • 2 Media Fundamentals
  • 3 MPEG as an Example of Media Compression
  • 4 Organisation and Retrieval of Multimedia Data
  • 5 Data Models for Multimedia Data
  • 6 Multimedia Retrieval Sequence Using Images as an Example
  • 7 Requirements for MultimediaApplications
  • 8 Parallel and Distributed Processing of Multimedia Data
  • 8 Conclusions
  • 11. Data Mining
  • 1 Introduction
  • 2 Mining Associations
  • 3 Classification and Prediction
  • 4 Clustering
  • 5 Conclusions
  • List of Contributors

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