A Data Mining Approach for Indoor Navigation Systems in IoT Scenarios

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Sattarian, Mahbubeh, Rezazadeh, Javad, Farahbakhsh, Reza and Ameri Sianaki, Omid ORCID: 0000-0001-8289-3452 (2021) A Data Mining Approach for Indoor Navigation Systems in IoT Scenarios. In: Data Science and Internet of Things: Research and Applications at the Intersection of DS and IoT. Fortino, G, Liotta, A, Gravina, R and Longheau, A, eds. Internet of Things . Springer, pp. 157-182.

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Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/43574
DOI 10.1007/978-3-030-67197-6_9
Official URL https://link.springer.com/chapter/10.1007/978-3-03...
ISBN 9783030671969 (print) 9783030671990 (print) 9783030671976 (online)
Subjects Current > FOR (2020) Classification > 4605 Data management and data science
Current > Division/Research > VU School of Business
Keywords IoT, indoor navigation systems, INS, data mining, algorithms, hospital
Citations in Scopus 0 - View on Scopus
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