Multimedia Services in Intelligent Environments Software Development Challenges and Solutions
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George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain
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George A. Tsihrintzis, Maria Virvou
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Multimedia Services in Intelligent Environments Software Development Challenges and Solutions
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Springer-Verlag
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9783642133558
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1
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CHF 85.90
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:
Allgemeines, Lexika
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English
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186
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Wasserzeichen/DRM
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PC/MAC/eReader/Tablet
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PDF
KES International (KES) is a worldwide organisation that provides a professional community and association for researchers, originally in the discipline of Knowledge Based and Intelligent Engineering Systems, but now extending into other related areas. Through this, KES provides its members with opportunities for publication and beneficial interaction. The focus of KES is research and technology transfer in the area of Intelligent S- tems, i.e. computer-based software systems that operate in a manner analogous to the human brain, in order to perform advanced tasks. Recently KES has started to extend its area of interest to encompass the contribution that intelligent systems can make to sustainability and renewable energy, and also the knowledge transfer, innovation and enterprise agenda. Involving several thousand researchers, managers and engineers drawn from u- versities and companies world-wide, KES is in an excellent position to facilitate - ternational research co-operation and generate synergy in the area of artificial intel- gence applied to real-world 'Smart' systems and the underlying related theory. The KES annual conference covers a broad spectrum of intelligent systems topics and attracts several hundred delegates from a range of countries round the world. KES also organises symposia on specific technical topics, for example, Agent and Multi Agent Systems, Intelligent Decision Technologies, Intelligent Interactive M- timedia Systems and Services, Sustainability in Energy and Buildings and Innovations through Knowledge Transfer. KES is responsible for two peer-reviewed journals, the International Journal of Knowledge based and Intelligent Engineering Systems, and Intelligent Decision Technologies: an International Journal.
Foreword
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Editors
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Preface
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Table of Contents
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Advances in Multimedia Services in Intelligent Environments Software Development Challenges and Solutions
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Introduction
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Conclusions
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References and Further Reading
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Evaluating the Generality of a Life-Cycle Framework for Incorporating Clustering Algorithms in Adaptive Systems
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Introduction
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The Software Life Cycle
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Inception
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Defining Requirements for the Prototype System and Analysis and Design of the Prototype Adaptive Recommender System
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Building and Evaluating the Prototype Adaptive Recommender System
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Elaboration
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Computing the Resemblance Coefficients for the Data Set and Developing the Clustering Algorithm
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Execute the Clustering Method for the Prototype and Evaluating the Results of the Clustering Algorithm used in the Prototype
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Construction
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The Most Efficient Algorithm and Designing Stereotypes Based on This Algorithm
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Building the User Modeling Component Based on the Stereotypes and Incorporating Them into the System
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Transition-Dynamically Improving System Performance while Used by
