Data Engineering for Smart Systems
Proceedings of SSIC 2021
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Beschreibung
This book features original papers from the 3rd International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2021), organized by Manipal University, Jaipur, India, during January 22–23, 2021. It discusses scientific works related to data engineering in the context of computational collective intelligence consisted of interaction between smart devices for smart environments and interactions. Thanks to the high-quality content and the broad range of topics covered, the book appeals to researchers pursuing advanced studies.
The books is one pot solution for authors to showcase their work among the research communities, application ware-houses and the public –private sectors. The series is an opportunity to gather research scientific works related to Data Engineering concept in context of computational intelligence consisted of interaction between Smart Devices, Smart Environments and Smart Interactions, as well as information technology support for such areas. Data from mentioned areas also need to be stored (after their gathering) in intelligent database systems and to be processed (using smart and intelligent approach). The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily accessible form. The innovations provide the latest software tools to be showcased in the book series through publications. The High-quality content with broad range of the topics pertaining to the book series will be peered reviewed and get published on suitable recommendations.
Presents recent research in the field of data engineering Discusses the outcomes of SSIC 2021, held in Manipal University Jaipur, India Serves as a reference guide for researchers and practitioners in academia and industry
Autor*in
Priyadarsi Nanda
Themen in »Data Engineering for Smart Systems«
SSIC 2021 SSIC Proceedings Data Engineering Data Analysis Data Innovation and Management Big Data Data Network