@article {FAGROUD2020572,
	title = {IOT Search Engines: Exploratory Data Analysis},
	journal = {Procedia Computer Science},
	volume = {175},
	year = {2020},
	note = {The 17th International Conference on Mobile Systems and Pervasive Computing (MobiSPC),The 15th International Conference on Future Networks and Communications (FNC),The 10th International Conference on Sustainable Energy Information Technology},
	pages = {572-577},
	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.},
	keywords = {Exploratory data analysis, IOT, IOTSE, Search Engine},
	issn = {1877-0509},
	doi = {https://doi.org/10.1016/j.procs.2020.07.082},
	url = {https://www.sciencedirect.com/science/article/pii/S1877050920317828},
	author = {Fatima Zahra Fagroud and Lahbib Ajallouda and El Habib Ben Lahmar and Hicham Toumi and Khadija Achtaich and Sanaa El Filali}
}
