Complex Intelligent Systems and Their Applications

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Xhafa, Fatos (Επιμελητής έκδοσης), Barolli, Leonard (Επιμελητής έκδοσης), Papajorgji, Petraq J. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York, 2010.
• Σειρά: Springer Optimization and Its Applications, 41
• Θέματα: Mathematics.; Computer organization.; Computer system failures.; Computer science > Mathematics.; Artificial intelligence.; Mathematical models.; Operations research.; Management science.; Mathematical Modeling and Industrial Mathematics.; Computer Systems Organization and Communication Networks.; Artificial Intelligence (incl. Robotics).; Operations Research, Management Science.; System Performance and Evaluation.; Math Applications in Computer Science.

"Complex Intelligent Systems and Their Applications" presents the most up-to-date advances in complex, software intensive and intelligent systems. Each self-contained chapter is the contribution of distinguished experts in areas of research relevant to the study of complex, intelligent and...

Πίνακας περιεχομένων:

• Efficient Integration of Complex Information Systems in the ATM Domain with Explicit Expert Knowledge Models
• An Ontology-Based Approach for Supporting Business-IT Alignment
• EPCIS-Based Supply Chain Event Management
• Cost-Benefit Analysis to Hedge with Third-Party Producers in Demand-Driven Production
• A Security Assurance Model to Holistically Assess the Information Security Posture
• Risk-Aware Business Process Management—Establishing the Link Between Business and Security
• Self-Optimised Tree Overlays Using Proximity-Driven Self-Organised Agents
• Filtering Order Adaptation Based on Attractor Selection for Data Broadcasting System
• StreamAPAS: Query Language and Data Model
• Agent-Supported Programming of Multicore Computing Systems
• Multimodal and Agent-Based Human–Computer Interaction in Cultural Heritage Applications: an Overview
• Reinforced Operators in Fuzzy Clustering Systems.