Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications

Sensors have become a key element for the development of the Information Society [...]

Bibliographic Details
Main Authors: Felipe Ortega, Emilio L. Cano
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Entropy
Subjects:
n/a
Online Access:https://www.mdpi.com/1099-4300/24/7/850
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author Felipe Ortega
Emilio L. Cano
author_facet Felipe Ortega
Emilio L. Cano
author_sort Felipe Ortega
collection DOAJ
description Sensors have become a key element for the development of the Information Society [...]
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spelling doaj.art-5222571d857e4d75b51fb947f6af494b2023-11-30T23:08:30ZengMDPI AGEntropy1099-43002022-06-0124785010.3390/e24070850Sensor Data Analytics: Challenges and Methods for Data-Intensive ApplicationsFelipe Ortega0Emilio L. Cano1Data Science Laboratory, Research Centre for Intelligent Information Technologies, Rey Juan Carlos University, 28933 Madrid, SpainData Science Laboratory, Research Centre for Intelligent Information Technologies, Rey Juan Carlos University, 28933 Madrid, SpainSensors have become a key element for the development of the Information Society [...]https://www.mdpi.com/1099-4300/24/7/850n/a
spellingShingle Felipe Ortega
Emilio L. Cano
Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications
Entropy
n/a
title Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications
title_full Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications
title_fullStr Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications
title_full_unstemmed Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications
title_short Sensor Data Analytics: Challenges and Methods for Data-Intensive Applications
title_sort sensor data analytics challenges and methods for data intensive applications
topic n/a
url https://www.mdpi.com/1099-4300/24/7/850
work_keys_str_mv AT felipeortega sensordataanalyticschallengesandmethodsfordataintensiveapplications
AT emiliolcano sensordataanalyticschallengesandmethodsfordataintensiveapplications