| Description |
1 online resource (xii, 182 pages) : illustrations (chiefly color) |
| Series |
Internet of things : technology, communications and computing, 2199-1073 |
|
Internet of things, 2199-1073
|
| Contents |
IoT aided smart home architecture for anomaly detection / Ibrahim Arif and Nevena Ackovska -- Evolutionary dynamics and multiplexity for mobile edge computing in a healthcare scenario / Barbara Attanasio, Alessandro Di Stefano, Aurelio La Corte, and Marialisa Scatá -- Correlations among game of thieves and other centrality measures in complex networks / Annamaria Ficara, Giacomo Fiumara, Pasquale De Meo, and Antonio Liotta -- A LPWAN case study for asset tracking / Fabrizio Formosa, Michele Malgeri, and Marco Vigo -- Implementing an integrated internet of things system (IoT) for hydroponic agriculture / Georgios Georgiadis, Andreas Komninos, Andreas Koskeris, and John Garofalakis -- A collaborative BSN-enabled architecture for multi-user activity recognition / Qimeng Li, Raffaele Gravina, Congcong Ma, Weilin Zang, Ye Li, and Giancarlo Fortino -- Collaborative solutions for unmanned aerial vehicles / Francisco Fabra, Julio A. Sanguesa, Willian Zamora, Carlos T. Calafate, Juan-Carlos Cano, and Pietro Manzoni -- Graph and network theory for the analysis of criminal networks / Lucia Cavallaro, Ovidiu Bagdasar, Pasquale De Meo, Giacomo Fiumara, and Antonio Liotta -- A data mining approach for indoor navigation systems in IoT scenarios / Mahbubeh Sattarian, Javad Rezazadeh, Reza Farahbakhsh, and Omid Ameri Sianaki |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed March 31, 2021) |
| Subject |
Internet of things.
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Machine learning.
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Data mining.
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Data structures (Computer science)
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Data mining
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Data structures (Computer science)
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Internet of things
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Machine learning
|
| Genre/Form |
Electronic books
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| Form |
Electronic book
|
| Author |
Fortino, Giancarlo, 1971- editor.
|
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Liotta, Antonio, editor.
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Gravina, Raffaele, 1982- editor.
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Longheu, Alessandro, editor
|
| ISBN |
9783030671976 |
|
3030671976 |
|
