Computational and Statistical Methods in Intelligent Systems

ISBN-13: 9783030002107 / Angielski / Miękka / 2018 / 386 str.

Radek Silhavy; Petr Silhavy; Zdenka Prokopova

Opis

This book presents real-world problems and pioneering research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of intelligent systems.

Spis treści

An Analytical Modeling for Leveraging Scalable Communication in IoT for Inter-Domain Routing.- Multi-Hybrid SMOTE Cost Sensitive Ensemble Approach for Software Defect Prediction.- Alternative Approach to Fisher‘s Exact Test with Application in Pedagogical Research.- Development of the Forecasting Component of the Decision Support System for the Regulation of Inter-regional Migration Processes.- Using Blockchain Technology to Improve N-version Software Dependability.- Enhancing Feature Selection with Density Cluster for Better Clustering.- Enhancing Concurrent ETL Task Schedule with Altruistic Strategy.- A Binary Percentile Sin-Cosine Optimisation Algorithm Applied to the Set Covering Problem.- Particular Analysis of Normality of Data in Applied Quantitative Research.- Towards Smartphone-based Navigation for Visually Impaired People.

Blurb

This book presents real-world problems and pioneering research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of intelligent systems. It gathers the peer-reviewed proceedings of the 2nd Computational Methods in Systems and Software 2018 (CoMeSySo 2018), a conference that broke down traditional barriers by being held online. The goal of the event was to provide an international forum for discussing the latest high-quality research results.