Intelligent Decision Technologies 2019, 1st ed. 2020 Proceedings of the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT 2019), Volume 1 Smart Innovation, Systems and Technologies Series, Vol. 142

The book presents a collection of peer-reviewed articles from the 11th KES International Conference on Intelligent Decision Technologies (KES-IDT-19), held Malta on 17?19 June 2019. The conference provided opportunities for the presentation of new research results and discussion about them. It was also an opportunity to generation of new ideas in the field of intelligent decision making. The range of topics explored is wide, and covers methods of classification, prediction, data analysis, decision support, modelling and many more in such areas as finance, cybersecurity, economy, health, management and transportation. The topics cover also problems of data science, signal processing and knowledge engineering.

Supporting Creation of FAQ Dataset for E-learning Chatbot.- Predicting Expected Profit in On-Going Peer-to-Peer Loans with Survival Analysis Based Profit Scoring.- On Developing a Framework for Knowledge-based Learning Indicator System in the Context of Learning Analytic.- Decision-making Support Using Nonmonotonic Probabilistic Reasoning.- Practical Application of the SIML Estimation of Covariance, Correlation and Hedging Ratio with High-Frequency Financial Data.- Stimulation of Horizontally Polarized Transverse Waves with the Help of Electromagnetic-Acoustic Transducer.- Fuzzy Cognitive Modeling: Theoretical and Practical Considerations.- Fuzzy Cognitive Maps: a Business Intelligence Discussion.- IVIFCM-TOPSIS for Bank Credit Risk Assessment.- Intelligent Diagnosis of Discrete-Event Systems with Preprocessing of Critical Scenarios.- Multiagent-based Decision Support Systems in Smart Microgrids.- Modelling Loss Given Default in Peer-to-Peer Lending using Random Forests.- Identifying Images with Ladders using Deep CNN Transfer Learning.- Syntax and Semantics Based Decision Making The Case of Music Information Processing.- Mining Incomplete Data - A Comparison of Concept and New Global Probabilistic Approximations.- Apache Spark as a Tool for Parallel Population-Based Optimization.- A GIS for Data Mining in Seismic Microzonation Studies.- Gene Expression Programming Classifier with Concept Drift Detection Based on Fishers Exact Test.- Experimental Evaluation of A-Teams Solving Resource Availability Cost Problem.- Text Classification using LDA-W2V Hybrid Algorithm.- Smartphone-Based Drivers Context Recognition.- Towards an Automated Assessment of Musculoskeletal Insufficiencies.- Regulatory Information Management Systems, as a Means for Ensuring the Pharmaceutical Data Continuity and Risk Management.- DMRA-MCP: A Distributed Map Reduce Applications Deployments in a Multi-Clouds Platform Based on Cloud Broker Architecture.- Integral Assessment of Efficiency of Scientific Research in Scientific Institutions of Russian Ministry of Health.- Functional Programming Patterns in JavaScript.- Measures to Design Secure Cyber-Physical Things.- Intrusion Detection in Wireless Sensor Networks by an Ensemble of Artificial Neural Networks.- Decision Support for Network Path Estimation via Automated Reasoning.- Knowledge Representation to Support Partially Automated Honeypot Analysis Based on Wireshark Packet Capture Files.

Ireneusz Czarnowski is a Professor at the Gdynia Maritime University. He holds B.Sc. and M.Sc. degrees in Electronics and Communication Systems from the same University. He gained the doctoral degree in the field of computer science in 2004 at Faculty of Computer Science and Management of Poznan University of Technology. In 2012, he earned a postdoctoral degree in the field of computer science in technical sciences at Wroclaw University of Science and Technology. His research interests include artificial intelligence, machine learning, evolutionary computations, multi-agent systems, data mining and data science. He is an Associate Editor of the Journal of Knowledge-Based and Intelligent Engineering Systems, published by the IOS Press, and a reviewer for several scientific journals.

Dr. Robert Howlett is the Executive Chair of KES International, a non-profit organization that facilitates knowledge transfer and the dissemination of research results in areas including Intelligent Systems, Sustainability, and Knowledge Transfer.  He is a Visiting Professor at Bournemouth University in the UK. His technical expertise is in the use of intelligent systems to solve industrial problems. He has been successful in applying artificial intelligence, machine learning and related technologies to sustainability and renewable energy systems; condition monitoring, diagnostic tools and systems; and automotive electronics and engine management systems.  His current research work is focussed on the use of smart microgrids to achieve reduced energy costs and lower carbon emissions in areas such as housing and protected horticulture.