Data science and Internet of Things : research and applications at the intersection of DS and IoT / edited by Giancarlo Fortino, Antonio Liotta, Raffaele Gravina, Alessandro Longheu,
Material type: TextSeries: Internet of thingsPublisher: Cham, Switzerland : Springer, ©2021Description: xii, 182 pages : illustrations (some color) ; 23 cmContent type:- text
- computer
- online resource
- 9783030671969 (hardback)
- 004.678 23
Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|
Books | Junaid Zaidi Library, COMSATS University Islamabad Ground Floor | Books | 004.678 DAT 63320 (Browse shelf(Opens below)) | Available | Hardback | 10001000063320 |
Browsing Junaid Zaidi Library, COMSATS University Islamabad shelves, Shelving location: Ground Floor, Collection: Books Close shelf browser (Hides shelf browser)
004.62 HIL 63381 High performance TCP/IP networking : concepts, issues, and solutions / | 004.64 USI 520 Using your modem | 004.64 USI 521 Using your modem | 004.678 DAT 63320 Data science and Internet of Things : research and applications at the intersection of DS and IoT / | 004.678 INT 63324 The internet of things and big data analytics : integrated platforms and industry use cases / | 004.678 JAC-W 63392 Web technologies and applications : a computer science perspective / | 004.678 RAJ-I 63342 The internet of things and big data analytics : integrated platforms and industry use cases / |
Includes bibliographical references
Introduction -- Machine learning algorithms, techniques & applications in IoT domains -- Network science and IoT -- Social media analysis in scale -- UAV solutions in IoT -- IoT aided Smart Home Architecture for Anomaly Detection -- A modeling approach based on Multiplexity and EGT for resource sharing in Fog/Cloud Computing -- Correlations among Game of Thieves and other centrality measures in large networks -- Optimization strategy in data transmission on Narrowband IoT with LWM2M -- Improving Hydroponic Agriculture through IoT-enabled Collaborative Machine Learning -- An Energy-efficient Techniques for Constrained Application Protocol (CoAP) -- Analysis of GPS power consumption in constrained-resources devices -- A Collaborative BSN-enabled Architecture for Multi-user Activity Recognition -- Conclusion
This book focuses on the combination of IoT and data science, in particular how methods, algorithms, and tools from data science can effectively support IoT. The authors show how data science methodologies, techniques and tools, can translate data into information, enabling the effectiveness and usefulness of new services offered by IoT stakeholders. The authors posit that if IoT is indeed the infrastructure of the future, data structure is the key that can lead to a significant improvement of human life. The book aims to present innovative IoT applications as well as ongoing research that exploit modern data science approaches. Readers are offered issues and challenges in a cross-disciplinary scenario that involves both IoT and data science fields. The book features contributions from academics, researchers, and professionals from both fields
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