Handbook on Data Management in Information SystemsJacek Błażewicz, Wieslaw Kubiak, Tadeusz Morzy, Marek Rusinkiewicz 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 volume, Handbook on Architecture of Information Systems, presents a balanced number of contributions from academia and practition ers. The structure of the material follows a differentiation between model ing languages, tools and methodologies. The second volume, Handbook on Electronic Commerce, examines electronic commerce storefront, on-line busi ness, consumer interface, business-to-business networking, digital payment, legal issues, information product development and electronic business mod els. The third volume, Handbook on Parallel and Distributed Processing, presents basic concepts, methods, and recent developments in the field of parallel and distributed processing as well as some important aplications of parallel and distributed computing. In particular, the book examines such fundamental issues in the above area as languages for parallel processing, parallel operating systems, architecture of parallel and distributed systems, parallel database and multimedia systems, networking aspects of parallel and distributed systems, efficiency of parallel algorithms. The fourth volume on Information Technologies for Education and Training is· devoted to a pre sentation of current and future research and applications in the field of ed ucational technology. The fifth double volume on Knowledge Management contains an extensive, fundamental coverage of the knowledge management field. |
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Contents
1 | |
1 Introduction | 2 |
2 Survey of the Volume | 12 |
18 | |
1 Introduction Database Concepts | 19 |
2 Database System Generations | 21 |
3 Network Database Systems | 22 |
4 Hierarchical Database Systems | 25 |
1 Introduction | 286 |
2 Media Fundamentals | 288 |
3 MPEG as an Example of Media Compression | 292 |
4 Organisation and Retrieval of Multimedia Data | 298 |
5 Data Models for Multimedia Data | 304 |
6 Multimedia Retrieval Sequence Using Images as an Example | 308 |
7 Requirements for Multimedia Applications | 318 |
8 Parallel and Distributed Processing of Multimedia Data | 321 |
5 Relational Database Systems | 29 |
6 ObjectOriented Database Systems | 33 |
7 Federated Mediated Database Systems and Data Warehouses | 38 |
8 Conclusions | 47 |
49 | |
1 Introduction | 50 |
3 Abstraction in Data Modeling | 52 |
4 Semantic Data Models | 56 |
5 Models of Reality and Perception | 62 |
6 Toward CognitionBased Data Management | 66 |
7 A Cognitive Approach to Data Modeling | 70 |
8 Research Directions | 72 |
78 | |
1 Introduction and Motivation | 80 |
2 ObjectOriented Data Modeling | 85 |
3 The Query Language OQL | 106 |
4 Physical Object Management | 117 |
5 Architecture of ClientServerSystems | 135 |
6 Indexing | 139 |
7 Dealing with SetValued Attributes | 160 |
8 Query Optimization | 164 |
9 Conclusion | 186 |
194 | |
1 Introduction | 195 |
2 Partitioning Strategies | 196 |
3 Join Using InterOperator Parallelism | 201 |
a Framework for Data Migration | 203 |
5 Conclusions and Future Research Directions | 216 |
221 | |
1 Introduction | 222 |
2 Preliminaries | 227 |
3 Data Models and Modeling for Complex Objects | 234 |
4 Advanced Query Languages | 249 |
5 Advanced Database Server Capabilities | 262 |
6 Conclusions and Outlook | 274 |
284 | |
9 Parallel and Distributed Techniques for Multimedia Databases | 337 |
CAIRO Cluster Architecture for Image Retrieval and Organisation | 348 |
11 Conclusions | 359 |
365 | |
1 Introduction | 367 |
2 Application Scenario and Collaboration Requirements | 368 |
3 Commercial Technologies Addressing Collaboration Requirements | 371 |
4 Evaluation of Current Workflow Management Technology | 372 |
5 Research Problems Related Work and Directions | 381 |
6 Summary | 383 |
387 | |
1 Introduction | 389 |
3 The Database of a Data Warehouse | 394 |
4 The Data Warehouse Concept | 404 |
5 Data Analysis of a Data Warehouse | 411 |
6 Building a Data Warehouse | 418 |
7 Future Research Directions | 422 |
8 Conclusions | 423 |
431 | |
1 Introduction | 433 |
2 Mobile Computing Infrastructure | 437 |
3 Mobile Computing Software Architectures and Models | 444 |
4 Disconnected Operation | 454 |
5 Weak Connectivity | 462 |
6 Data Delivery by Broadcast | 468 |
7 Mobile Computing Resources and Pointers | 476 |
8 Conclusions | 479 |
487 | |
1 Introduction | 488 |
2 Mining Associations | 490 |
3 Classification and Prediction | 517 |
4 Clustering | 540 |
5 Conclusions | 558 |
567 | |
List of Contributors | 577 |
Other editions - View all
Handbook on Data Management in Information Systems Jacek Blazewicz,Wieslaw Kubiak,Tadeusz Morzy No preview available - 2003 |
Handbook on Data Management in Information Systems Jacek Blazewicz,Wieslaw Kubiak,Tadeusz Morzy,Marek Rusinkiewicz No preview available - 2012 |
Common terms and phrases
activities additional algorithm allow analysis applications approach architecture association attribute called changes classification client clustering communication complex computing concepts Conference connectivity considered consists constructs contains data mining data model data warehouse database systems decision defined depends described disk distributed efficient elements example execution existing expression Figure frequent function given hierarchical implementation important instance integration International itemsets join language memory methods mobile multimedia multiple node object object-oriented operations optimization parallel partitioning path patterns performance possible presented problem Proc processing programming query record reference relational relationship represented requirements retrieval rules samples schema semantic sequence server similar single sources specific storage stored structure Student techniques tion transaction tree tuples updates values workflow