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Data cleansing for indoor positioning Wi-Fi fingerprinting datasets
Quezada-Gaibor, Darwin; Klus, Lucie; Torres-Sospedra, Joaquín; Simona Lohan, Elena; Nurmi, Jari; Granell, Carlos; Huerta, JoaquinWearable and IoT devices requiring positioning and localisation services grow in number exponentially every year. This rapid growth also produces millions of data entries that need to be pre-processed prior to being used in any indoor positioning system to ensure the data quality and provide a high Quality of Service (QoS) to the end-user. In this paper, we offer a novel and straightforward data cleansing algor...
Date: 2022
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Origin: RepositóriUM - Universidade do Minho