Computational and Statistical Methods in Intelligent Systems

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.

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.