Elsevier S & T

Database and Data Communication Network Systems, Three-Volume Set: Techniques and Applications

Cornelius T. Leondes

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Table of contents

Cover
Contentsv
Contributorsxiii
Forewardxvii
Prefacexxi
Chapter I. Emerging Database System Architectures1
I Introduction2
II. History6
III. Relational Data Model8
IV. Next Generation Data Model10
V. Hybrid Database Technologies22
VI. Future Study Related to Database Technologies26
VII. Future Database Applications31
VIII. Summary38
References38
Chapter 2. Data Mining41
I. Introduction41
II. Overview of Data Mining Techniques46
III. Data Characterization47
IV. Classification Techniques67
V. Association Rule Discovery72
VI. Concluding Remarks74
References75
Chapter 3. Object-Oriented Database Systems77
I. Introduction77
II. Functionality78
III. Implementation87
IV. Applications103
V. Conclusion119
References120
Chapter 4. Query Optimization Concepts and Methodologies in Multidatabase Systems123
I. Introduction124
II. Semantic Discrepancy and Schema Conflicts126
III. Optimization at the Algebra Level130
IV. Optimization at the Execution Strategy Level151
V. Conclusions170
References171
Chapter 5. Development of Multilevel Secure Database Systems175
I. Introduction175
II. Access Control: Basic Concepts178
III. Mandatory Access Control180
IV. Multilevel Security in Relational DBMSs183
V. Multilevel Security in Object DBMSs188
VI. Secure Concurrency Control194
VII. Conclusions199
References200
Chapter 6. Fuzzy Query Processing in the Distributed Relational Databases Environment203
I. Introduction203
II. Fuzzy Set Theory205
III. Fuzzy Query Translation Based on the α-Cuts Operations of Fuzzy Numbers207
IV. Fuzzy Query Translation in the Distributed Relational Databases Environment214
V. Data Estimation in the Distributed Relational Databases Environment217
VI. Conclusions231
References231
Chapter 7. Data Compression: Theory and Techniques233
I. Introduction233
II. Fundamentals of Data Compression235
III. Statistical Coding243
IV. Dictionary Coding255
V. Universal Coding269
VI. Special Methods271
VII. Conclusions273
References273
Chapter 8. Geometric Hashing and Its Applications277
I. Introduction277
II. Model-Based Object Recognition278
III. Principles of Geometric Hashing279
IV. Examples281
V. Implementation Issues284
VI. Applications284
References286
Chapter 9. Intelligent and Heuristic Approaches and Tools for the Topological Design of Data Communi289
I. Introduction289
II. Basic Concepts and Background291
III. Characterization and Representation of Data Communication Networks294
IV. Intelligent and Hybrid Approaches305
V. Heuristic Approaches312
References325
Chapter 10. Multimedia Database Systems in Education, Training, and Product Demonstration327
I. Introduction328
II. Database Applications in Training„The IMMPS Project333
III. Database Applications in Education„A Web Document Database341
IV. Future Directions350
Reference364
Chapter 11. Data Structure in Rapid Prototyping and Manufacturing367
I. Introduction368
II. Interfaces between CAD and RP&M376
III. Slicing395
IV. Layer Data Interfaces400
V. Solid Interchange Format (SIF): The Future Interface409
VI. Virtual Reality and RP&M410
VII. Volumetric Modeling for RP&M412
References414
Chapter 12. Database Systems in Manufacturing Resource Planning417
I. Introduction417
II. MRPII Concepts and Planning Procedure418
III. Data Element Requirements in the MRPII System433
IV. Application of Relational Database Management Technique in MRPII452
V. Applications of Object-Oriented Techniques in MRPII457
Reference494
Chapter 13. Developing Applications in Corporate Finance: An Object-Oriented Database Management App497
I. Introduction498
II. Financial Information and Its Uses499
III. Database Management Systems505
IV. Financial Object-Oriented Databases508
V. Discussion515
References516
Chapter 14. Scientific Data Visualization: A Hypervolume Approach for Modeling and Rendering of Volu517
I. Introduction518
II. Representation of Volumetric Data520
III. Manipulation of Volumetric Data525
IV. Rendering Methods of Volumetric Data538
V. Application to Flow Visualization540
VI. Summary and Conclusions546
References547
Chapter 15. The Development of Database Systems for the Construction of Virtual Environments with Fo549
I. Introduction550
II. LHX554
III. Applications of LHX: Data Haptization557
IV. Applications of LHX: 3D Shape Design Using Autonomous Virtual Object563
V. Other Applications of LHX570
VI. Conclusion571
References571
Chapter 16. Data Compression in Information Retrieval Systems573
I. Introduction573
II. Text Compression579
III. Dictionaries607
IV. Concordances609
V. Bitmaps622
VI. Final Remarks631
References631
Chapter 17. Information Data Acquisition on the World Wide Web during Heavy Client/Server Traffic Pe635
I. Introduction635
II. Gateway Specifications637
III. Architectures of RDBMS Gateways643
IV. Web Server Architectures655
V. Performance Evaluation Tools656
VI. Epilogue659
References660
Chapter 18. Information Exploration on the World Wide Web663
I. Introduction664
II. Getting Started with Netscape Communicator and Internet Explorer664
III. How Search Engines670
IV. Typical Search Engines679
V. Advanced Information Exploration with Data Mining686
VI. Conclusions689
References690
Chapter 19. Asynchronous Transfer Mode (ATM) Congestion Control in Communication and Data Network Sy693
I. Introduction694
II. The Data Network Model697
III. A Classical Control Approach to Model a Flow-Controlled Data Network701
IV. Designing the Control Law Using the Smith Principle703
V. Mathematical Analysis of Steady-State and Transient Dynamics707
VI. Congestion Control for ATM Networks709
VII. Performance Evaluation of the Control711
VIII. Conclusions715
References716
Chapter 20. Optimization Techniques in Connectionless (Wireless) Data Systems on ATM-Based ISDN Netw719
I. Introduction720
II. Connectionless Data Services in ATM-Based B-ISDN724
III. Connectionless Data System Optimization727
IV. Solution Methods for the Unconstrained Optimization Problem733
V. Solution Methods for the Constrained Optimization Problem739
VI. Construction of Virtual Overlayed Network745
VII. Conclusions and Discussions748
References749
Chapter 21. Integrating Databases, Data Communication, and Artificial Intelligence for Applications751
I. Setting the Scene751
II. Data Acquisition and Communication757
III. Adding Intelligence to Monitoring758
IV. A Database for Off-Line Management of Safety770
V. Integrating Databases and AI771
VI. Conclusions781
References782
Chapter 22. Reliable Data Flow in Network Systems in the Event of Failures783
I. Introduction784
II. Flows in a Network789
III. Edge-δ-Reliable Flow800
IV. Vertex-δ-Reliable Flow804
V. m-Route Flow810
VI. Summary821
References823
Chapter 23. Techniques in Medical Systems Intensive Care Units825
I. General Vision on ICUs and Information825
II. Intelligent Data Management in ICU827
III. Knowledge Base and Database Integration838
IV. A Real Implementation844
References856
Chapter 24. Wireless Asynchronous Transfer Mode (ATM) in Data Networks for Mobile Systems859
I. Introduction860
II. Services in ATM WLAN861
III. Fixed ATM LAN Concept863
IV. Migration from ATM LAN to ATM WLAN869
V. HIPERLAN, a Candidate Solution for an ATM872
VI. Optimum Design for ATM WLAN881
VII. Support of TCP over ATM WLAN891
VIII. Mobility Management in ATM WLAN896
IX. Conclusion898
References899
Chapter 25. Supporting High-Speed Applications on SingAREN ATM Network901
I. Background902
II. Advanced Applications on SingAREN903
III. Advanced Backbone Network Services905
IV. SingAREN "Premium" Network Service908
V. Key Research Contributions911
VI. Proposed Design913
VII. Multicast Service Agent (MSA)915
VIII. Scaling Up to Large Networks with Multiple MS As921
IX. Host Mobility Support928
X. Conclusions and Future Directions931
References932
Index935

Book details

Vendor Elsevier S & T
SKU 9780124438958
Author Cornelius T. Leondes

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Database and Data Communication Network Systems examines the utilization of the Internet and Local Area/Wide Area Networks in all areas of human endeavor. This three-volume set covers, among other topics, database systems, data compression, database architecture, data acquisition, asynchronous transfer mode (ATM) and the practical application of these technologies. The international collection of contributors was culled from exhaustive research of over 100,000 related archival and technical journals.
This reference will be indispensable to engineering and computer science libraries, research libraries, and telecommunications, networking, and computer companies. It covers a diverse array of topics, including:
* Techniques in emerging database system architectures
* Techniques and applications in data mining
* Object-oriented database systems
* Data acquisition on the WWW during heavy client/server traffic periods
* Information exploration on the WWW
* Education and training in multimedia database systems
* Data structure techniques in rapid prototyping and manufacturing
* Wireless ATM in data networks for mobile systems
* Applications in corporate finance
* Scientific data visualization
* Data compression and information retrieval
* Techniques in medical systems, intensive care units

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