IoT search engines: Exploratory data analysis

Titre	IoT search engines: Exploratory data analysis
Publication Type	Conference Paper
Year of Publication	2020
Authors	Fagroud, FZ, Ajallouda, L, Lahmar, EHB, Toumi, H, Achtaich, K, S. Filali, E
Conference Name	Procedia Computer Science
Mots-clés	Data handling, Exploratory data analysis, Exponential increase, Information analysis, Internet of things, Search engines, Search tools, Ubiquitous computing
Abstract	IOT search engine (IOTSE) is a search tool proposed with the aim to allow research, list and identification of IOT devices (All devices connected to the internet represent an IOT device). This tool provides a huge amount of data, which is justified by the exponential increase of the number of objects connected in the world. The data provided must be analyzed and interpreted in the aim to give a better understanding, quickly description and help to make decisions. In this work we applied exploratory data analysis on IOT search engine data in order to give an analysis of IOTSE data with visual method. © 2020 The Authors.
URL	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094620165&doi=10.1016%2fj.procs.2020.07.082&partnerID=40&md5=d36b954ecd9cc39a0e670b7bcb86a85b
DOI	10.1016/j.procs.2020.07.082