Volume I

Section I. Fundamental Concepts and Theories

This section serves as the foundation for this exhaustive reference tool by addressing crucial theories essential to the understanding of database technologies. Chapters found within these pages provide an excellent framework in which to position database technologies within the field of information science and technology. Individual contributions provide overviews of data warehousing and database management systems, while also exploring critical stumbling blocks of this field. Within this introductory section, the reader can learn and choose from a compendium of expert research on the elemental theories underscoring the research and application of database technologies.

Chapter 1.1. Philosophical Foundations of Information Modeling

Chapter 1.2. A Generalized Comparison of Open Source and Commercial Database Management Systems

Chapter 1.3. Highly Available Database Management Systems

Chapter 1.4. Mining in Music Databases

Chapter 1.5. Pattern Mining and Clustering on Image Databases

Chapter 1.6. Conceptual Modeling Solutions for the Data Warehouse

Chapter 1.7. A Literature Overview of Fuzzy Database Modeling

Chapter 1.8. Fuzzy and Probabilistic Object-Oriented Databases

Chapter 1.9. An Overview of Fuzzy Approaches to Flexible Database Querying

Chapter 1.10. Distributed Data Mining

Chapter 1.11. Histogram-Based Compression of Databases and Data Cubes

Chapter 1.12. Emergence Index in Image Databases

Chapter 1.13. Secure Knowledge Discovery in Databases

Chapter 1.14. Indexing Textual Information

Chapter 1.15. Database in Computing Systems

Chapter 1.16. Database Integrity Checking

Chapter 1.17. A Survey on Temporal Data Warehousing

Chapter 1.18. Discovering Quality Knowledge from Relational Databases

Chapter 1.19. Approaches to Semantics in Knowledge Management

Chapter 1.20. Theories of Meaning in Schema Matching: A Review

Chapter 1.21. Multi-Label Classification: An Overview

Chapter 1.22. Electronic Usage Statistics

Chapter 1.23. Databases Modeling of Engineering Information

Chapter 1.24. An Overview of Learning Object Repositories

Chapter 1.25. An Overview of IDS Using Anomaly Detection

Chapter 1.26. Towards Google Earth: A History of Earth Geography

Section II. Development and Design Methodologies

This section provides in-depth coverage of conceptual architectures, frameworks and methodologies related to the design and implementation of database technologies. Throughout these contributions, research fundamentals in the discipline are presented and discussed. From broad examinations to specific discussions on particular frameworks and infrastructures, the research found within this section spans the discipline while also offering detailed, specific discussions. Basic designs, as well as abstract developments, are explained within these chapters, and frameworks for designing successful databases are discussed

Chapter 2.1. Design of a Data Model for Social Network Applications

Chapter 2.2. Database Design Based on B

Chapter 2.3. A Database Service Discovery Model for Mobile Agents

Chapter 2.4. A Database Project in a Small Company (or How the Real World Doesn’t Always Follow the Book)

Chapter 2.5. Integrating Mobile-Based Systems with Healthcare Databases

Chapter 2.6. A Framework for Efficient Association Rule Mining in XML Data

Chapter 2.7. Conceptual Modeling for XML: A Myth or a Reality

Chapter 2.8. Semantic Integrity Constraint Checking for Multiple XML Databases

Chapter 2.9. Goal-Oriented Requirement Engineering for XML Document Warehouses

Chapter 2.10. Mediating RDF/S Queries to Relational and XML Sources

Chapter 2.11. A Methodology Supporting the Design and Evaluating the Final Quality of Data Warehouses

Chapter 2.12. An MDA Compliant Approach for Designing Secure Data Warehouses

Chapter 2.13. Architecture for Symbolic Object Warehouse

Chapter 2.14. Efficient and Robust Node- Partitioned Data Warhouses

Volume II

Chapter 2.15. Web Data Warehousing Convergence: From Schematic to Systematic

Chapter 2.16. Data Warehouse Design to Support Customer Relationship Management Analysis

Chapter 2.17. Aspects of Intelligence in an “SP” Database System

Chapter 2.18. Intelligent Search for Experts Using Fuzzy Abstraction Hierarchy in Knowledge Management Systems

Chapter 2.19. Building an Environmental GIS Knowledge Infrastructure

Chapter 2.20. Bug Fixing Practices within Free/Libre Open Source Software Development Teams

Chapter 2.21. OLAP with a Database Cluster

Chapter 2.22. Extraction, Transformation, and Loading Processes

Chapter 2.23. Designing Information Systems Capabilities to Create Business Value: A Theoretical Conceptualization of the Role of Flexibility and Integration

Section III. Tools and Technologies

This section presents extensive coverage of the technology that both derives from and informs databases. These chapters provide an in-depth analysis of the use and development of innumerable devices and tools, while also providing insight into new and upcoming technologies, theories, and instruments that will soon be commonplace. Within these rigorously researched chapters, readers are presented with examples of database technology. In addition, the successful implementation and resulting impact of these various technologies are discussed within this collection of chapters

Chapter 3.1. Open Source Database Technologies

Chapter 3.2. Action Research with Internet Database Tools

Chapter 3.3. A Scalable Middleware for Web Databases

Chapter 3.4. Full-Text Search Engines for Databases

Chapter 3.5. Application of Decision Tree as a Data mining Tool in a Manufacturing System

Chapter 3.6. Alliance Project: Digital Kinship Database and Genealogy

Chapter 3.7. Constraint-Based Multi-Dimensional Databases

Chapter 3.8. Towards a Visual Query System for Spatio-Temporal Databases

Chapter 3.9. Visual Query Languages, Representation Techniques and Data Models

Chapter 3.10. A Formal Verification and Validation Approach for Real-Time Databases

Chapter 3.11. Protoforms of Linguistic Database Summaries as a Human Consistent Tool for Using Natural Language in Data Mining

Chapter 3.12. Rapid Privacy Preserving Algorithm for Large Databases

Chapter 3.13. A Content-Based Approach to Medical Image Database Retrieval

Chapter 3.14. High Speed Optical Higher Order Neural Networks for Discovering Data Trends and Patterns in Very Large Databases

Chapter 3.15. Mobile Information Processing Involving Multiple Non-Collaborative Sources

Chapter 3.16. Rough Sets: A Versatile Theory for Approaches to Uncertainty Management in Databases

Chapter 3.17. VRMiner: A Tool for Multimedia Database Mining With Virtual Reality

Chapter 3.18. UB2SQL: A Tool for Building Database Applications Using UML and B Formal Method

Chapter 3.19. MMIR: An Advanced Content-Based Image Retrieval System Using a Hierarchical Learning Framework

Chapter 3.20. MILPRIT*: A Constraint-Based Algorithm for Mining Temporal Relational Patterns

Chapter 3.21. Database Benchmarks

Section IV. Utilization and Application

This section introduces and discusses the ways in which information technology has been used to shape the realm of database technology and proposes new ways in which IT-related innovations can be implemented within organizations and in society as a whole. These particular selections highlight, among other topics, the implementation of mobile databases and database-driven portals. Contributions included in this section provide excellent coverage of today’s environment and insight into how database technology impacts the fabric of our present-day global village

Chapter 4.1. A Taxonomy of Database Operations on Mobile Devices

Chapter 4.2. Transaction Management in Mobile Databases

Chapter 4.3. Bioinformatics Web Portals

Chapter 4.4. Large-Scale ASP Replication of Database-Driven Portals

Chapter 4.5. A Case Study of an Integrated University Portal

Chapter 4.6. Electronic Tools for Online Assessments: An Illustrative Case Study from Teacher Education

Chapter 4.7. Assessment of Students by a Teacher with a Hand Held Device and a Networkable Database

Chapter 4.8. An XML-Based Database for Knowledge Discovery: Definition and Implementation

Chapter 4.9. A Prehospital Database System for Emergency Medical Services

Volume III

Chapter 4.10. A Preliminary Study Toward Wireless Integration of Patient Information System

Chapter 4.11. A Web-Based Application to Exchange Electronic Health Records and Medical Images in Ophthalmology

Chapter 4.12. Implementation of a Computerized System in an Oncology Unit

Chapter 4.13. Challenges in Data Mining on Medical Databases

Chapter 4.14. Beyond OpenURL: Technologies for Linking Library Resources

Chapter 4.15. Databases for Multiple Archaeological Excavations and Internet Applications

Chapter 4.16. Collaborative Information Management System for Science Domains

Chapter 4.17. Computer Networking of Cybercafés in Delta State, Nigeria

Chapter 4.18. Ara Irititja: Towards Culturally Appropriate IT Best Practice in Remote Indigenous Australia

Chapter 4.19. Agreements Treaties and Negotiated Settlements Database

Chapter 4.20. From ‘Flow’ to ‘Database’: A Comparative Study of the Uses of Traditional and Internet Television in Estonia

Chapter 4.21. Innovative Technological Paradigms for Corporate Offshoring

Chapter 4.22. Out of Control? The Real ID Act of 2005

Chapter 4.23. Factors Influencing the Lifetime of Telecommunication and Information Technology Standards: Results of an Explorative Analysis of the PERINORM Database

Chapter 4.24. Image Mining: A Case for Clustering Shoe prints

Chapter 4.25. A Data Visualization and Interpretation System for Sensor Networks

Chapter 4.26. Enhancing UML Models: A Domain Analysis Approach

Section V. Organizational and Social Implications

This section includes a wide range of research pertaining to the social and organizational impact of database technology around the world. Chapters in this section analyze online databases, data security, and organizational decision support. The inquiries and methods presented in this section offer insight into the implications of database technology at both a personal and organizational level, while also emphasizing potential areas of study within the discipline.

Chapter 5.1. A Knowledge Integration Approach for Organizational Decision Support

Chapter 5.2. The Knowledge Transfer Process: From Field Studies to Technology Development

Chapter 5.3. The Critical Role of Information Processing in Creating an Effective Knowledge Organization

Chapter 5.4. Interesting Knowledge Patterns in Databases

Chapter 5.5. Fine-Grained Data Security in Virtual Organizations

Chapter 5.6. Knowledge Communication with Shared Databases

Chapter 5.7. Economic Development: Government’s Cutting Edge in IT

Chapter 5.8. A Comprehensive Framework Towards Information Sharing Between Government Agencies

Chapter 5.9. A GIS-Based Interactive Database System for Planning Purposes

Chapter 5.10. Categorizing Post-Deployment IT Changes: An Empirical Investigation

Chapter 5.11. Customer Relationship Management and Knowledge Discovery in Database

Chapter 5.12. Customer Investigation Process at Credit Suisse: Meeting the Rising Demands of Regulators

Chapter 5.13. Metaphors and Models for Data Mining Ethics

Chapter 5.14. Reconciling Information Privacy and Information Access in a Globalized Technology Society

Chapter 5.15. Context-Aware Query Processing in Ad-Hoc Environments of Peers

Chapter 5.16. Misuse of Online Databases for Literature Searches

Section VI. Managerial Impact

This section presents contemporary coverage of the managerial implications of database technology. Particular contributions address e-services, database grids, and project databases. The managerial research provided in this section allows executives, practitioners, and researchers to gain a better sense of how database technology can inform their practices and behavior.

Chapter 6.1. Conflicts, Compromises, and Political Decisions: Methodological Challenges of Enterprise-Wide E-Business Architecture Creation

Chapter 6.2. Database High Availability: An Extended Survey

Chapter 6.3. Database Integration in the Grid Infrastructure

Chapter 6.4. Empirical Assessment of Factors Influencing Success of Enterprise Resource Planning Implementations

Chapter 6.5. Business Information Integration from XML and Relational Databases Sources

Chapter 6.6. A Parallel Methodology for Reduction of Coupling in Distributed Business-to-Business E-Commerce Transactions

Chapter 6.7. A Two-Stage Zone Regression Method for Global Characterization of a Project Database

Volume IV

Section VII. Critical Issues

This section addresses conceptual and theoretical issues related to the field of database technology, which include security issues in numerous facets of the discipline including security within medical and web-powered. Within these chapters, the reader is presented with analysis of the most current and relevant conceptual inquires within this growing field of study. Particular chapters also address quality of service issues in information quality, data cleaning, and data classification. Overall, contributions within this section ask unique, often theoretical questions related to the study of database technology and, more often than not, conclude that solutions are both numerous and contradictory.

Chapter 7.1. NetCube: Fast, Approximate Database Queries Using Bayesian Networks

Chapter 7.2. Approximate Range Querying over Sliding Windows

Chapter 7.3. Consistent Queries over Databases with Integrity Constraints

Chapter 7.4. A Deterministic Approach to XML Query Processing with Efficient Support for Pure and Negated Containments

Chapter 7.5. Countermeasures for Protecting Legally Sensitive Web-Powered Databases and Web Portals

Chapter 7.6. Compiling Medical Data into National Medical Databases: Legitimate Practice or Data Protection Concern?

Chapter 7.7. Database Security and Statistical Database Security

Chapter 7.8. Security Threats in Web-Powered Databases and Web Portals

Chapter 7.9. SQL Code Poisoning: The Most Prevalent Technique for Attacking Web Powered Databases

Chapter 7.10. Sanitization and Anonymization of Document Repositories

Chapter 7.11. Information Quality: How Good are Off-the-shelf DBMs?

Chapter 7.12. Handling Fuzzy Similarity for Data Classification

Chapter 7.13. Fabric Database and Fuzzy Logic Models for Evaluating Fabric Performance

Chapter 7.14. Mining for Mutually Exclusive Items in Transaction Databases

Chapter 7.15. Ensuring Correctness, Completeness, and Freshness for Outsourced Tree-Indexed Data

Chapter 7.16. A Multiple-Bits Watermark for Relational Data

Chapter 7.17. A Machine Learning Approach to Data Cleaning in Databases and Data Warehouses

Chapter 7.18. A Roadmap on Updates

Chapter 7.19. Association Rule Hiding Methods

Chapter 7.20. Managing Uncertainties in Image Databases

Chapter 7.21. Bitmap Join Indexes vs. Data Partitioning

Chapter 7.22. Integrating Projects from Multiple Open Source Code Forges

Chapter 7.23. Extended Action Rule Discovery Based on Single Classification Rules and Reducts

Chapter 7.24. Optimization of Multidimensional Aggregates in Data Warehouses

Chapter 7.25. Improving Storage Concepts for Semantic Models and Ontologies

Section VIII. Emerging Trends

This section highlights research potential within the field of database technology while exploring uncharted areas of study for the advancement of the discipline. Chapters within this section highlight evolutions in knowledge discovery, data integration, and models that inform database technology. These contributions, which conclude this exhaustive, multi-volume set, provide emerging trends and suggestions for future research within this rapidly expanding discipline.

Chapter 8.1. From Databases to Ontologies

Chapter 8.2. A Measurement Ontology Generalizable for Emerging Domain Applications on the Semantic Web

Chapter 8.3. Enhancing the Process of Knowledge Discovery in Geographic Databases Using Geo-Ontologies

Chapter 8.4. A Distributed Algorithm for Mining Fuzzy Association Rules in Traditional Databases

Chapter 8.5. Looking for Information in Fuzzy Relational Databases Accessible Via Web

Chapter 8.6. Integrating Heterogeneous Data Sources in the Web

Chapter 8.7. Reverse Engineering from an XML Document into an Extended DTD Graph

Chapter 8.8. Evaluating XML-Extended OLAP Queries Based on Physical Algebra

Chapter 8.9. Vertical Fragmentation in Databases Using Data-Mining Technique

Chapter 8.10. Control-Based Database Tuning Under Dynamic Workloads

Chapter 8.11. Adoption, Improvement, and Disruption: Predicting the Impact of Open Source Applications in Enterprise Software Markets

Chapter 8.12. 3-D Virtual Worlds in Education: Applications, Benefits, Issues, and Opportunities

Chapter 8.13. Legal Protection of the Web Page as a Database

Chapter 8.14. Deterministic Motif Mining in Protein Databases

Chapter 8.15. Mining Allocating Patterns in Investment Portfolios

Chapter 8.16. Introducing Elasticity for Spatial Knowledge Management

 

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