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Inhaltsangabe
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.
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.
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