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Preface; Organization; Contents; Challenges in Learning from Streaming Data Extended Abstract; 1Introduction; 2Algorithm Issues in Learning from Data Streams; 3Conclusions; Agreement Technologies and Multi-agent Environments; 1 Introduction; 2 Agreement Technologies; 2.1 A Computing Perspective of Agreement Technologies; 2.2 Agreements between Software Agents; 3 Key Dimensions of Agreement Technologies; 3.1 Semantics in Agreement Technologies; 3.2 Norms in Agreement Technologies; 3.3 Organizations and Institutions in Agreement Technologies
3.4 Augmentation and Negotiation in Agreement Technologies3.5 Trust and Reputation in Agreement Technologies; 4 Conclusions; References; A Review of Obstacles Observed while Applying Optimisation and Information Systems in Practice; 1Introduction; 2The Obstacles on the State Level; 2.1Inflation; 2.2Wrong Policies on the State Level; 2.3Public Procurement Act; 3The Obstacles on the Corporate Level; 3.1Wrong Corporate Policy between Departments; 3.2Wrongly Set Goals; 4Obstacles to Proper Use of Data; 5The Emerging Role of Clouds, Big Data and Analytics; 6 Conclusions
Magnetic Response Properties of AqueousAluminum(III) Ion: A Hybrid Statistical PhysicsQuantum Mechanical Approach Implementingthe Map-Reduce Computational Technique1 Introduction; 2 Related Work; 3 Implementation of the ASEC Computational MethodUsing the Map-Reduce Technique; 3.1 Map-Reduce Model and Hadoop; 3.2 The Algorithm; 4 Statistical Physics Simulations; 5 Quantum Mechanical Computations of MagneticProperties of the Aqueous Al(III) Species; 6 Influence of the Aqueous Environment; 7 Conclusion and Future Work; References; Opportunities and Challenges for Green HPC; 1 Introduction
2 Green Potential Analysis of Current Top HPC Systems2.1 Processor Family; 2.2 Interconnect Type; 2.3 Accelerators / Co-processors; 2.4 System Family Impact; 3 Conclusion; References; Exploratory analysis of communities in co-authorship networks: a case study; 1Introduction; 2Related Work; 3Exploratory Analysis; 4Results and Discussion; 4.1Connected Components; 4.2Community Structure of Largest Connected Components; 5Concluding Remarks; Employing Personal Health Recordsfor Population Health Management; 1 Introduction; 2 Personal Health Records; 2.1 Datasets for Cardiac Patients; 3 Methods
3.1 Implementation Context of the Intelligent PHR System3.2 Usage of the Intelligent PHR System; 3.3 Development of an Example Service; 4 Results; 4.1 Example Service: Readmission-Risk Model; 5 Conclusion and Outlook; References; A Comparison and Integration of Ontologies Suitablefor Interoperability Extension of SCOR Model; 1 Introduction; 2 Reference Model and Their Characteristics; 3 Ontologies, Their Concepts and Comparison; 3.1 Toronto Virtual Enterprise (TOVE) Ontology; 3.2 Enterprise Ontology; 3.3 IDEON Ontology; 4 Results and Findings; 4.1 Resource Concept Comparison and Integration
3.4 Augmentation and Negotiation in Agreement Technologies3.5 Trust and Reputation in Agreement Technologies; 4 Conclusions; References; A Review of Obstacles Observed while Applying Optimisation and Information Systems in Practice; 1Introduction; 2The Obstacles on the State Level; 2.1Inflation; 2.2Wrong Policies on the State Level; 2.3Public Procurement Act; 3The Obstacles on the Corporate Level; 3.1Wrong Corporate Policy between Departments; 3.2Wrongly Set Goals; 4Obstacles to Proper Use of Data; 5The Emerging Role of Clouds, Big Data and Analytics; 6 Conclusions
Magnetic Response Properties of AqueousAluminum(III) Ion: A Hybrid Statistical PhysicsQuantum Mechanical Approach Implementingthe Map-Reduce Computational Technique1 Introduction; 2 Related Work; 3 Implementation of the ASEC Computational MethodUsing the Map-Reduce Technique; 3.1 Map-Reduce Model and Hadoop; 3.2 The Algorithm; 4 Statistical Physics Simulations; 5 Quantum Mechanical Computations of MagneticProperties of the Aqueous Al(III) Species; 6 Influence of the Aqueous Environment; 7 Conclusion and Future Work; References; Opportunities and Challenges for Green HPC; 1 Introduction
2 Green Potential Analysis of Current Top HPC Systems2.1 Processor Family; 2.2 Interconnect Type; 2.3 Accelerators / Co-processors; 2.4 System Family Impact; 3 Conclusion; References; Exploratory analysis of communities in co-authorship networks: a case study; 1Introduction; 2Related Work; 3Exploratory Analysis; 4Results and Discussion; 4.1Connected Components; 4.2Community Structure of Largest Connected Components; 5Concluding Remarks; Employing Personal Health Recordsfor Population Health Management; 1 Introduction; 2 Personal Health Records; 2.1 Datasets for Cardiac Patients; 3 Methods
3.1 Implementation Context of the Intelligent PHR System3.2 Usage of the Intelligent PHR System; 3.3 Development of an Example Service; 4 Results; 4.1 Example Service: Readmission-Risk Model; 5 Conclusion and Outlook; References; A Comparison and Integration of Ontologies Suitablefor Interoperability Extension of SCOR Model; 1 Introduction; 2 Reference Model and Their Characteristics; 3 Ontologies, Their Concepts and Comparison; 3.1 Toronto Virtual Enterprise (TOVE) Ontology; 3.2 Enterprise Ontology; 3.3 IDEON Ontology; 4 Results and Findings; 4.1 Resource Concept Comparison and Integration