This book will have a strong focus on state-of-the-art development and case studies for the convergence and the frontiers of next generation data and knowledge management systems for information and communication technology (ICT), healthcare and telecommunication services. It will emphasize on the cutting edge technological development in data and knowledge management solution in health informatics, in the field of Subscriber Data Management (SDM) and virtualization in 4G and 5G network; Cloud computing for evolving data management as a service (DMaaS); Big data as a service (BDaaS); 5G-tailored edge cloud data center solution; Big data analysis with Hadoop, Map Reduce, Spark; Big data analytics framework for health application applying ICT and health informatics. A key focus of this book is a new generation of intelligent systems that are human-centered with explainable models and appropriate integrations of interactive techniques, where data representation, data flows, and analytical techniques provide a meaningful platform necessary for humans to better understand, explore, correct, and modify intelligent models, with an overall goal to better facilitate and accelerate research in all aspects of data and knowledge engineering in ICT, Healthcare and Telecommunication Services. 

Topics covered (but not limited to):

• IoT based data analytics framework for health application in ICT/health informatics
• Knowledge and Data Engineering in ICT, Healthcare, and Telecommunication Services
• Interaction in knowledge discovery, representation, acquisition, and integration
• Human-centered data and knowledge systems
• Evaluation strategies, models, and approaches in data and knowledge engineering
• Explanation of learning and reasoning strategies in intelligent systems
• Interaction with big data and data visualization
• Mobile health monitoring systems in the context of advanced DBMS
• Infrastructure for data-driven networking including its applications in health industry
• Mechanisms, protocols for data processing and management in a distributed systems, parallel systems and distributed computing
• Data in mobile, pervasive, autonomic and ubiquitous computing and applications in health industry
• Blockchain in data processing and management in ICT and in biomedical engineering
• Subscriber data management (SDM) and virtualization  in 4G and 5G network
• Cloud computing for evolving data management as a service (DMssS), Big data as a service (BDaaS)
• 5G-tailored edge cloud data center solution
• Design of real-time embedded database systems for telecom and networking applications
• Data  processing and management in IoT and wireless sensor network
• Spatio-temporal data management and analysis
• Scalable data analysis and query processing, optimization applying distributed machine and deep  learning, AI, soft computing techniques
• Design and analysis of low-latency model and edge-computing for large scale models
• Declarative languages and run-time systems in DBMS
• Consistency, concurrency, co-ordination and reliability in DBMS
• Data storage, physical design issues, metadata management
• Secure data processing in Health industry
• Data cleaning, transformation and crowdsourcing
• Data application and services
• Data retrieval, processing, analysis and visual analytics
• Quality of Data (QoD) and Trust of Data (ToD) for industry and society
• Mobile data and information
• Semantic data access, interaction, integration, and exchange
• Energy efficient database models
• Data mining, knowledge discovery, data warehousing and analytics in ICT and health industry
• High performance and large scale data warehousing
• Expert systems, decision support systems using DBMS
• Big data analysis with Hadoop/ Map Reduce ,Spark
• Big data and business intelligence