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Transactions on Computational Collective Intelligence XXV [electronic resource] / edited by Ngoc Thanh Nguyen, Ryszard Kowalczyk, Cezary Or�owski, Artur Zi�o�kowski.

Contributor(s): Nguyen, Ngoc Thanh [editor.] | Kowalczyk, Ryszard [editor.] | Or�owski, Cezary [editor.] | Zi�o�kowski, Artur [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 9990Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2016Description: XI, 149 p. 66 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783662535806.Subject(s): Computer science | Software engineering | Computers | Artificial intelligence | Management information systems | Computational intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Computational Intelligence | Software Engineering | Information Systems and Communication Service | Management of Computing and Information SystemsAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
High-level model for the design of KPIs for Smart Cities systems,- Implementation of business processes in Smart Cities technology -- Designing aggregate KPIs as a method of implementing decision-making processes in the management of Smart Cities -- Designing aggregate KPIs as a method of implementing decision-making processes in the management of Smart Cities -- Smart Cities system design method based on Case Based Reasoning -- Model of an integration bus of data and ontologies of Smart Cities processes Ontology of the design pattern language for Smart Cities systems -- Text Classification Using "Anti"-Bayesian Quantile Statistics-based Classifiers -- Two Novel Techniques to Improve MDL-based Semi-Supervised Classification of Time Series. .
In: Springer eBooksSummary: These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-fifth issue contains 8 carefully selected and revised contributions.
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High-level model for the design of KPIs for Smart Cities systems,- Implementation of business processes in Smart Cities technology -- Designing aggregate KPIs as a method of implementing decision-making processes in the management of Smart Cities -- Designing aggregate KPIs as a method of implementing decision-making processes in the management of Smart Cities -- Smart Cities system design method based on Case Based Reasoning -- Model of an integration bus of data and ontologies of Smart Cities processes Ontology of the design pattern language for Smart Cities systems -- Text Classification Using "Anti"-Bayesian Quantile Statistics-based Classifiers -- Two Novel Techniques to Improve MDL-based Semi-Supervised Classification of Time Series. .

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twenty-fifth issue contains 8 carefully selected and revised contributions.

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