Data Science and Big Data Analytics in Smart Environments

ISBN-13: 9780367407131 / Angielski / Twarda / 2021 / 292 str.

Marta Chinnici; Florin Pop; Catalin Negru

Opis

Many applications generate large datasets, like social networking and social influence programs, smart cities applications, smart house environments, Cloud applications, public web sites, scientific experiments and simulations, data warehouse, monitoring platforms, and e-government services.

Spis treści

Preface. Contributors. Mobility-Aware Solutions for Edge Data Center Deployment in Urban Environments. Effective Data Assimilation with Machine Learning. Semantic Data Model for Energy Efficient Integration of Data Centres in Energy Grids. Managing the safety in smart buildings using semantically-enriched BIM and occupancy data approach. Belief Rule-Based Adaptive Particle Swarm Optimization. NoSQL Environments and Big Data Analytics for Time Series. A Territorial Intelligence-based Approach for Smart Emergency Planning. Big Data Analysis and Applications for Energy Performant Buildings and Smart Cities. Selecting Suitable Plants for a Given Area using Data Analysis Approaches. Ontology-Based Security Requirements Framework for Current and Future Vehicles. Dynamic Resource Provisioning Using Cognitive Intelligent Networks based on Stochastic Markov Decision Process. Data model for water resource management. References.