Fast And Efficient Context Aware Services
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Fast and Efficient Context-Aware Services
Fast and Efficient Context-Aware Services gives a thorough explanation of the state-of-the-art in Context-Aware-Services (CAS). The authors describe all major terms and components of CAS, defining context and discussing the requirements of context-aware applications and their use in 3rd generation services. The text covers the service creation problem as well as the network technology alternatives to support these services and discusses active and programmable networks in detail. It gives an insight into the practical approach followed in the CONTEXT project, supplying concrete guidelines for building successful context-aware services. Fast and Efficient Context-Aware Services: * Provides comprehensive and in-depth information on state-of-the-art CAS technology. * Proposes a system architecture for CAS creation and delivery, discussing service management and active network layers. * Describes the service lifecycle functional architecture, covering service authoring, customization, invocation, and assurance. * Explains system design considerations and details, system evaluation criteria, test-bed requirements, and evaluation results. Fast and Efficient Context-Aware Services is an invaluable resource for telecommunications developers, researchers in academia and industry, advanced students in Computer Science and Electrical Engineering, telecoms operators, as well as telecommunication management and operator personnel.
Context-Aware Machine Learning and Mobile Data Analytics
This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making. Thus, we have bestowed a comprehensive study on this topic that explores multi-dimensional contexts in machine learning modeling, context discretization with time-series modeling, contextual rule discovery and predictive analytics, recent-pattern or rule-based behavior modeling, and their usefulness in various context-aware intelligent applications and services. The presented machine learning-based techniques can be employed in a wide range of real-world application areas ranging from personalized mobile services to security intelligence, highlighted in the book. As the interpretability of a rule-based system is high, the automation in discovering rules from contextual raw data can make this book more impactful for the application developers as well as researchers. Overall, this book provides a good reference for both academia and industry people in the broad area of data science, machine learning, AI-Driven computing, human-centered computing and personalization, behavioral analytics, IoT and mobile applications, and cybersecurity intelligence.
Knowledge Discovery, Knowledge Engineering and Knowledge Management
This book constitutes the thoroughly refereed proceedings of the 5th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2013, held in Vilamoura, Portugal, in September 2013. The 27 full papers presented together with two invited papers were carefully reviewed and selected from 239 submissions. The papers are organized in topical sections on knowledge discovery and information retrieval; knowledge engineering and ontology development; knowledge management and information sharing.