Data Science and Big Data Analytics in Smart Environments (eBook, PDF)

Redaktion: Chinnici, Marta; Negru, Catalin; Pop, Florin

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 304
• Erscheinungstermin: 28. Juli 2021
• Englisch
• ISBN-13: 9781000386011
• Artikelnr.: 62158599

Autorenporträt

Marta Chinnici graduated in Mathematics (2004) magna cum laude at the University of Naples (Italy), where she received her PhD in Mathematics and Computer Science (2008) with a thesis on stochastic self-similar processes and applications in non-linear dynamical systems. Currently, she is a Senior Researcher at the ENEA's Department of Energy Technologies and Renewable Energy Sources, ICT Division, where she works on ICT for Energy Efficiency issues. She is a European Commission Expert in the field of ICT and a review/evaluator for several European programs on the same topic. She is Member of Technical Programme Committees of various international conferences and workshops, and Editor/Referee of relevant journals in the fields of computer science, data science and energy. To date, she authored more than 50 scientific articles and books, and presented in leading national and international conferences on ICT and energy topics. Florin POP is professor at the Department of Computer and Information Technology, the Politehnica University of Bucharest. He also works as a 1st degree scientific researcher at National Institute for Research and Development in Informatics (ICI) Bucharest. His general research interests are: distributed systems (design and performance), grid computing and cloud computing, peer-to-peer systems, Big Data management, data aggregation, information retrieval and classification techniques, Bio-inspired optimization methods. C¿t¿lin NEGRU is a system engineer and researcher at the Department of Computer and Information Technology at University Politehnica of Bucharest (UPB). He obtained his PhD from UPB in 2016. His research interests include distributed systems, energy efficiency, cloud storage, cyber- physical systems, GIS. His research has led to the publishing of numerous papers and articles at prestigios journals and conferences. He is involved in several national and international research projects.

Inhaltsangabe

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.