LNAI 2903 Design and Implementation of an Intelligent Information Infrastructure 1st Edition by Henry Lau, Andrew Ning, Peggy Fung ISBN 9783540200574 354020057X
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Authors:Henry C.W. Lau, Andrew Ning; Peggy Fung , Tags:AI 2003: Advances in Artificial Intelligence , Author sort:Henry C.W. Lau, Andrew Ning & Fung, Peggy , Languages:Languages:eng , Published:Published:Nov 2003
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Product details:
ISBN 10: 354020057X
ISBN 13: 9783540200574
Author: Henry Lau, Andrew Ning, Peggy Fung
The lack of seamless data interchange and efficient data analysis hinders the formation of an effective information infrastructure that serves as the platform for data interchange across heterogeneous database systems. Information infrastructure has become an emerging platform to enable business partners, customers and employees of enterprises to access and interchange corporate data from dispersed locations all over the world. In general, information infrastructure is a browser-based gateway that allows users to gather, share, and disseminate data through Internet easily. This paper proposes the design and implementation of an information infrastructure embracing the emerging eXtensible Markup Language (XML) open standard, together with an intelligent data mining technique combining neural networks and On-Line Analysis Process (OLAP) and rule-based reasoning approaches to support knowledge discovery. To validate the feasibility of this approach, an information infrastructure prototype is developed and tested in a company with description of this case example covered in this paper.
LNAI 2903 Design and Implementation of an Intelligent Information Infrastructure 1st Edition Table of contents:
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Foundations of Information Infrastructure
- Definition and Importance of Information Infrastructure
- Components of an Information Infrastructure: Hardware, Software, and Networks
- Evolution of Information Infrastructure in the Digital Era
- Trends in Information Infrastructure: Cloud Computing, Big Data, and AI Integration
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Intelligent Systems and Their Role in Infrastructure
- What Makes a System “Intelligent”?
- The Integration of AI and Machine Learning in Infrastructure Design
- Intelligent Systems for Data Collection, Processing, and Analysis
- Decision Support Systems and Automation in Infrastructure Management
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Designing an Intelligent Information Infrastructure
- Key Principles in Designing Scalable and Flexible Information Systems
- Architectural Models for Intelligent Information Infrastructure
- Considerations for Integration with Existing Systems and Technologies
- Security and Privacy Challenges in Infrastructure Design
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Technologies for Intelligent Infrastructure Implementation
- Cloud Computing and Distributed Systems
- Data Storage, Retrieval, and Management Solutions
- Internet of Things (IoT) for Infrastructure Sensing and Monitoring
- Advanced Networking Techniques for Intelligent Infrastructure
- Big Data Analytics and Real-Time Decision Making
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Intelligent Information Systems for Resource Management
- Resource Allocation and Optimization in Intelligent Infrastructures
- Predictive Maintenance and Failure Prevention with AI
- Energy Management Systems Using Intelligent Algorithms
- Smart Infrastructure for Smart Cities and Sustainable Development
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Implementation of Intelligent Infrastructure Systems
- Key Stages in the Implementation of Intelligent Information Systems
- Tools, Platforms, and Frameworks for Building Intelligent Infrastructure
- Case Studies of Successful Implementations in Various Sectors
- Overcoming Common Challenges in Infrastructure Implementation
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Performance Evaluation and Optimization
- Metrics for Evaluating the Performance of Intelligent Systems
- Benchmarking and Testing Methodologies for Infrastructure Solutions
- Continuous Monitoring and Optimization of Infrastructure Systems
- Handling System Failures and Recovery Mechanisms
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Applications of Intelligent Information Infrastructure
- Smart Cities: Infrastructure for Urban Development
- Healthcare: Intelligent Systems for Medical Data and Resource Management
- Industry and Manufacturing: IoT and AI-Driven Infrastructure
- E-Government and Public Services: Optimizing Service Delivery
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Security, Privacy, and Ethical Considerations
- Cybersecurity Challenges in Intelligent Infrastructure
- Data Privacy and Compliance in Intelligent Systems
- Ethical Issues in the Design and Deployment of AI-Powered Infrastructures
- Regulatory Standards and Governance for Intelligent Information Systems
- Future Directions in Intelligent Infrastructure
- The Future of Autonomous Systems in Infrastructure Management
- Advances in Quantum Computing and Their Impact on Infrastructure
- Integration of Blockchain for Secure, Transparent Infrastructure
- Trends in AI, Machine Learning, and the Future of Intelligent Information Infrastructure
- Conclusion
- Summary of Key Insights and Contributions
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Design and implementation are key stages in developing software and systems.
Effective design ensures functionality and user experience are prioritized in the implementation phase.
The implementation phase brings design concepts to life through coding and deployment.
Design and implementation processes are crucial for creating scalable and efficient solutions.
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